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【影视】 Deep learning using Tensorflow Lite on Raspberry Pi

收录时间:2022-10-01 文档个数:72 文档大小:3.5 GB 最近下载:2025-02-18 人气:5874 磁力链接

[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/26. z.mp4 201.3 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/27. za.mp4 154.0 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/25. y.mp4 137.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/12. l.mp4 134.5 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/21. u.mp4 129.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/18. r.mp4 128.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/8. h.mp4 126.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/2. b.mp4 124.5 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/24. x.mp4 123.9 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/23. w.mp4 123.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/1. a.mp4 122.0 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/20. t.mp4 119.4 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/19. s.mp4 114.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/4. d.mp4 110.3 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/5. e.mp4 109.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/15. o.mp4 108.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/4. d.mp4 107.8 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/17. q.mp4 102.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/3. c.mp4 98.9 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/6. f.mp4 92.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Convolutional Neural Networks with TensorFlow in Python.zip

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[ FreeCourseWeb.com ] Udemy - Convolutional Neural Networks with TensorFlow in Python.zip 2.3 GB

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【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow

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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
14. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
2. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
1. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
9. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB

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【影视】 TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI

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[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/04 Binary Classification with Artificial Neural Networks/014 Step 2 - Binary Classification.mp4 177.1 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/005 Activation Function.mp4 164.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/10 Project 3_ CNN for Predicting the Bank Customer Satisfaction/037 CNN for Predicting the Bank Customer Satisfaction Part 2.mp4 149.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/073 Text Classification Part 2.mp4 146.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/03 Building the Artificial Neural Networks (ANNs)/009 Step 2 - Data Preprocessing.mp4 142.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/072 Text Classification Part 1.mp4 137.4 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/06 Building Convolutional Neural Networks (CNNs)/022 Building Convolutional Neural Network Step 3.mp4 134.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/056 Google Stock Price Prediction with RNN and LSTM Part 4.mp4 124.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/053 Google Stock Price Prediction with RNN and LSTM Part 1.mp4 115.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/004 The Neuron.mp4 107.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/041 CNN for Credit Card Fraud Detection Part 2.mp4 106.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/068 Stop Words.mp4 103.3 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/09 Project 2_ CNN for Breast Cancer Detection/033 CNN for Breast Cancer Detection Part 1.mp4 101.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/05 Introduction to Convolutional Neural Networks (CNNs)/018 Convolutional Neural Network Part 1.mp4 100.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/07 CNN for Binary Image Classification/027 CNN for Binary Image Classification Step 3.mp4 99.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/096 Matplotlib Part 4.mp4 95.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/042 CNN for Credit Card Fraud Detection Part 3.mp4 95.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/091 Matplotlib Part 1 - Functional Method.mp4 95.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/065 Tokenization.mp4 91.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/040 CNN for Credit Card Fraud Detection Part 1.mp4 89.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Neural Network Programming with Tensorflow (PDF) (+ code).zip

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[ FreeCourseWeb.com ] Neural Network Programming with Tensorflow (PDF) (+ code).zip 161.9 MB

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【影视】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

收录时间:2020-07-06 文档个数:282 文档大小:5.5 GB 最近下载:2025-02-18 人气:2622 磁力链接

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB

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【影视】 [ CourseWikia.com ] Udemy - Deep Learning Real World Projects & TensorFlow Certification

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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB

猜你喜欢： Real Certification CourseWikia Deep Udemy Learning TensorFlow World com Projects

【压缩文件】 Tensorflow 2.0 guia completa.rar

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Tensorflow 2.0 guia completa.rar 9.2 GB

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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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[FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects 49.3 GB

猜你喜欢： 20 FreeCourseSite Masterclass Over Deep Udemy Learning TensorFlow com Projects

【压缩文件】 [ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip

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[ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip 2.4 GB

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【影视】 [DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2020-02-28 文档个数:240 文档大小:7.2 GB 最近下载:2025-02-18 人气:8955 磁力链接

1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip 104.1 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB

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【影视】 TensorFlow Developer Certificate in 2021 Zero to Mastery

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TensorFlow Developer Certificate in 2021 Zero to Mastery 21.2 GB

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【影视】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

收录时间:2020-04-28 文档个数:107 文档大小:2.9 GB 最近下载:2025-02-18 人气:3712 磁力链接

11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB

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【影视】 PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB

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【影视】 GetFreeCourses.Co-Udemy-Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2021-04-08 文档个数:252 文档大小:7.2 GB 最近下载:2025-02-18 人气:6417 磁力链接

1. Course Overview, Installs, and Setup/3. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip 104.1 MB
1. Course Overview, Installs, and Setup/4.1 FINAL_TF2_FILES.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip

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[ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip 724.0 MB

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【影视】 Machine Learning with TensorFlow [Video]

收录时间:2020-07-09 文档个数:29 文档大小:195.0 MB 最近下载:2025-02-18 人气:2848 磁力链接

1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
2.4-The Machine Learning Life Cycle - Machine Learning with TensorFlow [Video].mp4 8.0 MB
2.5-Reviewing Outputs and Results - Machine Learning with TensorFlow [Video].mp4 7.2 MB
4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
4.5-Using TensorBoard on Our CNN - Machine Learning with TensorFlow [Video].mp4 3.6 MB
MLwithTF-master-CODE/book_code/data_utils.py 32.5 kB

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video4_4.mp4 16.9 MB
video3_8.mp4 15.6 MB
video5_1.mp4 14.8 MB
video5_2.mp4 14.5 MB
video1_2.mp4 14.1 MB
video1_5.mp4 11.3 MB
video3_3.mp4 11.2 MB
video3_6.mp4 9.7 MB
video2_2.mp4 9.7 MB
video4_3.mp4 9.4 MB
video2_3.mp4 8.9 MB
video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
video4_2.mp4 8.0 MB
video3_5.mp4 7.8 MB
video1_1.mp4 7.7 MB
video4_1.mp4 7.5 MB
video3_4.mp4 6.9 MB
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
05.Getting Production-Ready with TensorFlow/0503.Debugging and Some Nice Practices in TensorFlow.mp4 71.7 MB
05.Getting Production-Ready with TensorFlow/0504.TensorFlow on Multiple Devices.mp4 58.2 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
01.Understanding the Reinforcement Learning Framework/0101.The Course Overview.mp4 17.9 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
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3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 17.7 MB
5.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 16.6 MB
5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 16.1 MB
4.4. Accessing Data with Datasets/26.Reading MNIST data in code.mp4 15.1 MB
3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13.7 MB
4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.mp4 12.9 MB
6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.mp4 12.7 MB
5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.mp4 11.0 MB
3.3. Training TensorFlow Applications/15.Simple optimizer example.mp4 10.5 MB
3.3. Training TensorFlow Applications/14.Using optimizers.mp4 10.2 MB
2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9.9 MB
5.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9.8 MB
6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9.5 MB
4.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 9.1 MB
5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.9 MB
6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.mp4 8.8 MB
4.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8.7 MB
4.4. Accessing Data with Datasets/23.Dataset operations.mp4 8.0 MB
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