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【影视】 Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2023-03-18 文档个数:357 文档大小:8.9 GB 最近下载:2025-05-11 人气:11846 磁力链接

[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/115 - Flask Front End.mp4 175.6 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/110 - Creating the Model.mp4 128.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB

猜你喜欢： Complete Keras Deep Bootcamp Learning Tensorflow

【影视】 [Tutorialsplanet.NET] Udemy - Complete Tensorflow 2 And Keras Deep Learning Bootcamp

收录时间:2023-03-01 文档个数:246 文档大小:8.9 GB 最近下载:2025-05-06 人气:1859 磁力链接

9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
13 - Deployment/115 - Flask Front End.mp4 175.6 MB
11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
13 - Deployment/110 - Creating the Model.mp4 128.0 MB
5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB

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【影视】 Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2025-05-06 文档个数:239 文档大小:8.9 GB 最近下载:2025-05-12 人气:12 磁力链接

[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/115 - Flask Front End.mp4 175.6 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/110 - Creating the Model.mp4 128.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB

猜你喜欢： Complete Keras Deep Bootcamp Learning Tensorflow

【影视】 desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_20200804

收录时间:2020-11-07 文档个数:533 文档大小:8.5 GB 最近下载:2025-04-27 人气:1132 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_202008

收录时间:2025-01-28 文档个数:533 文档大小:8.5 GB 最近下载:2025-05-11 人气:248 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 IA Expert - TensorFlow Machine Learning e Deep Learning com Python

收录时间:2020-10-29 文档个数:163 文档大小:7.6 GB 最近下载:2025-05-11 人气:2478 磁力链接

21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
05 Regress227o linear/025 Regress227o linear simples com estimators II.mp4 110.6 MB
05 Regress227o linear/027 Regress227o linear multipla com estimators II.mp4 109.3 MB
21 Gerac227o automatica de caracteres/099 Construc227o da GAN - MNIST I.mp4 107.4 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/108 Introduc227o a redes neurais artificiais I.mp4 106.7 MB

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【影视】 tensorflow-machine-learning-deep-learning-python

收录时间:2021-02-11 文档个数:163 文档大小:7.6 GB 最近下载:2025-05-03 人气:1984 磁力链接

21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
05 Regress227o linear/025 Regress227o linear simples com estimators II.mp4 110.6 MB
05 Regress227o linear/027 Regress227o linear multipla com estimators II.mp4 109.3 MB
21 Gerac227o automatica de caracteres/099 Construc227o da GAN - MNIST I.mp4 107.4 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/108 Introduc227o a redes neurais artificiais I.mp4 106.7 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-12-07 文档个数:262 文档大小:7.6 GB 最近下载:2025-02-11 人气:1357 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-06-14 文档个数:264 文档大小:7.5 GB 最近下载:2024-03-10 人气:546 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-03-19 文档个数:249 文档大小:7.5 GB 最近下载:2025-05-11 人气:2462 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-06-17 文档个数:247 文档大小:7.5 GB 最近下载:2025-04-15 人气:1689 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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18/2. Anaconda Environment Setup.mp4 189.7 MB
18/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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