- 【影视】 [ DevCourseWeb.com ] Udemy - Object Detection with Tensorflow Fast Track Course ML
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收录时间:2022-03-15
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~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/001 Deployment - Android, Webcam and Video Feed.mp4 227.5 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/001 Tensorflow GPU installation - NVIDIA Graphic Card Configutation.mp4 208.5 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/001 Dataset Preparation & Labelling tool.mp4 163.3 MB
~Get Your Files Here !/08 - Export Trained graph/001 Export training into graph and test on Web server.mp4 163.2 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/001 Tensorflow CPU installation Python Package AnacondaMiniconda.mp4 155.3 MB
~Get Your Files Here !/06 - Dataset Conversion/001 Convert dataset to TF-Record (Binary Conversion).mp4 149.7 MB
~Get Your Files Here !/07 - Training the Model/001 Training the model (TF record).mp4 138.4 MB
~Get Your Files Here !/01 - Introduction/001 Introduction to Roadmap of the Course.mp4 99.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/001 Tensorflow Garden Repository Installation.mp4 72.0 MB
~Get Your Files Here !/01 - Introduction/36911390-1.Introduction-to-the-Object-Detection-Course.pptx 13.3 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/38013664-Course-Files.pdf 1.0 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/35731396-Course-Files.pdf 1.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/35731398-Course-Files.pdf 1.0 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/35731402-Course-Files.pdf 1.0 MB
~Get Your Files Here !/06 - Dataset Conversion/35731404-Course-Files.pdf 1.0 MB
~Get Your Files Here !/07 - Training the Model/35731406-Course-Files.pdf 1.0 MB
~Get Your Files Here !/08 - Export Trained graph/35731408-Course-Files.pdf 1.0 MB
~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/35731410-Course-Files.pdf 1.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
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- 【影视】 IA Expert - TensorFlow Machine Learning e Deep Learning com Python
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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】 Neural Networks with Tensorflow
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[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/3. Neural Style Transfer with VGG19 - 3.mp4 128.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/4. Neural Style Transfer with VGG19 - 4.mp4 100.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/29. Recurrent Neural Networks - 4.mp4 98.8 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/10. Linear Regression.mp4 97.6 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/11. Logistic Regression.mp4 91.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/21. CNN and Cifar10 - 3.mp4 84.8 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/18. Convolutional Neural Networks - 6.mp4 84.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/33. Recurrent Neural Networks - 8.mp4 82.7 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/12. Handwriting Recognition with MNIST.mp4 82.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/19. CNN and Cifar10 - 1.mp4 75.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/23. CNN and Cifar10 - 5.mp4 73.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/22. CNN and Cifar10 - 4.mp4 72.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/2. Neural Style Transfer with VGG19 - 2.mp4 70.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/32. Recurrent Neural Networks - 7.mp4 68.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/31. Recurrent Neural Networks - 6.mp4 66.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/28. Recurrent Neural Networks - 3.mp4 64.7 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/24. Tactics to Improve the Model.mp4 60.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/8. Computational Graph, Ops, Sessions, Placeholders.mp4 60.1 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/7. Basics of TensorFlow - 2.mp4 59.8 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/16. Convolutional Neural Networks - 4.mp4 59.7 MB
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- 【影视】 [ CoursePig.com ] Udemy - Complete Python + Tensorflow Course 2021
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收录时间:2021-09-26
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~Get Your Files Here !/1. Deep Learning Basics.mp4 173.0 MB
~Get Your Files Here !/12. Transfer Learning.mp4 136.6 MB
~Get Your Files Here !/2. Basic Maths for Deep Learning.mp4 117.8 MB
~Get Your Files Here !/14. Augmentation.mp4 115.1 MB
~Get Your Files Here !/9. Augmentation Technique.mp4 115.1 MB
~Get Your Files Here !/16. Recurrent neural networks.mp4 109.2 MB
~Get Your Files Here !/3. Python Introduction.mp4 76.1 MB
~Get Your Files Here !/10. Deep Learning Part 1.mp4 68.9 MB
~Get Your Files Here !/17. Long Short-Term Memory RNN.mp4 68.8 MB
~Get Your Files Here !/13. TensorBoard.mp4 61.6 MB
~Get Your Files Here !/11. Deep Learning Part 2.mp4 58.3 MB
~Get Your Files Here !/5. Set Data Type.mp4 54.9 MB
~Get Your Files Here !/6. Convolutional Neural Network.mp4 53.3 MB
~Get Your Files Here !/7. Adam's Optimiser.mp4 38.0 MB
~Get Your Files Here !/4. List Tuple Data Types.mp4 38.0 MB
~Get Your Files Here !/8. Custom CallBacks.mp4 35.5 MB
~Get Your Files Here !/15. Bi- Directional RNN.mp4 33.1 MB
~Get Your Files Here !/1. Deep Learning Basics.srt 44.1 kB
~Get Your Files Here !/2. Basic Maths for Deep Learning.srt 30.7 kB
~Get Your Files Here !/3. Python Introduction.srt 23.3 kB
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- 【影视】 [GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2020-03-22
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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】 Deep Learning - Recurrent Neural Networks with TensorFlow
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收录时间:2024-07-16
文档个数:51
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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人气:6806
磁力链接
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
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- 【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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收录时间:2020-01-23
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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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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes
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~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.mp4 81.9 MB
~Get Your Files Here !/04 - 3. Building Your First Model/02 - Preprocessing and feeding data into your model.mp4 67.2 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/02 - Deep dives into training metrics.mp4 53.4 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/01 - Visualizing success with TensorBoard.mp4 46.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/05 - Save and reuse trained models.mp4 44.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/06 - Autoencoders A gentle introduction to generative models.mp4 42.3 MB
~Get Your Files Here !/04 - 3. Building Your First Model/08 - Solution Building blocks to TensorFlow mastery.mp4 42.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/03 - Monitor training and validation.mp4 34.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/01 - Let's create a TensorFlow model.mp4 23.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/05 - Solution Step-by-step statistical analysis.mp4 21.1 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/03 - Machine learning workflow.mp4 13.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/04 - Challenge Normalizing tensors.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/01 - TensorFlow essentials.mp4 12.8 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/02 - TensorFlow simplified for NumPy users.mp4 10.1 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/01 - Codespaces Your ready-to-use workspace.mp4 9.5 MB
~Get Your Files Here !/04 - 3. Building Your First Model/07 - Challenge My first TensorFlow model.mp4 5.3 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 4.6 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/02 - Setting up TensorFlow with Codespaces.mp4 4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Welcome to deep learning with TensorFlow.mp4 3.7 MB
~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.srt 37.3 kB
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~Get Your Files Here !/3 - Building Classification Models with CNNS/7 - Classification Problem Binomial Response Building the Model.mp4 162.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/12 - Data Preparation.mp4 139.2 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/31 - Data Preparation.mp4 134.7 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/34 - Making Predictions on New Data.mp4 110.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/8 - Classification Problem Binomial Response Making Predictions.mp4 97.8 MB
~Get Your Files Here !/1 - Getting Started/1 - Introduction.mp4 89.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/11 - Classification Problem Multinomial Response Making Predictions.mp4 85.8 MB
~Get Your Files Here !/5 - Recognizing Animals/25 - Recognizing Bears Foxes and Mice Making Predictions.mp4 82.0 MB
~Get Your Files Here !/5 - Recognizing Animals/17 - Recognizing Bears From Foxes Data Preparation.mp4 75.9 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/15 - Making Predictions in the Test Set.mp4 75.6 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/13 - Creating the Training Set and the Test Set.mp4 72.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/6 - Classification Problem Binomial Response Data Preparation.mp4 66.9 MB
~Get Your Files Here !/5 - Recognizing Animals/22 - Recognizing Bears Foxes and Mice Data Preparation.mp4 65.2 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/10 - Classification Problem Multinomial Response Building the Model.mp4 62.3 MB
~Get Your Files Here !/5 - Recognizing Animals/20 - Recognizing Bears From Foxes Making Predictions.mp4 56.7 MB
~Get Your Files Here !/5 - Recognizing Animals/19 - Recognizing Bears From Foxes Building the Model.mp4 50.4 MB
~Get Your Files Here !/5 - Recognizing Animals/26 - Recognizing Bears Foxes and Mice Making Predictions on New Data.mp4 48.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/9 - Classification Problem Multinomial Response Data Preparation.mp4 48.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/14 - Building the Model.mp4 47.7 MB
~Get Your Files Here !/5 - Recognizing Animals/18 - Recognizing Bears From Foxes Training Set and Test Set.mp4 45.7 MB
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- 【影视】 [GigaCourse.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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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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- 【影视】 Convolutional Neural Networks with TensorFlow in Python
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[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/027 Confusion matrix and visualizing it with Tensorboard.mp4 114.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/024 Building and training the CNN.mp4 91.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/042 Trousers and Jeans - All.mp4 89.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/026 Tensorboard on the MNIST example.mp4 87.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/028 Using Tensorboard to tune hyperparameters.mp4 86.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/045 L2 regularization and Dropout.mp4 85.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/10 Understanding CNNs/047 Unexpected failures.mp4 76.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/051 GoogleNet - computational efficiency.mp4 74.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/022 A simple CNN architecture.mp4 73.0 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/009 Feature maps.mp4 70.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/023 Preprocessing the data.mp4 65.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/008 CNNs motivation.mp4 64.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/039 Primary classification task - Part 2.mp4 63.5 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/010 Pooling and Stride.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/01 Introduction to the course/001 What does the course cover_.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/041 Trousers and Jeans - discussion of approaches.mp4 56.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/02 Kernels/004 How do image transformations work_.mp4 55.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/052 ResNet - revolution of depth.mp4 52.2 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/035 The objective and the images.mp4 49.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/025 Testing the trained CNN.mp4 47.3 MB
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- 【影视】 [Udemy] TensorFlow Developer Certificate in 2021 Zero to Mastery (2021) [En]
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[Udemy] TensorFlow Developer Certificate in 2021 Zero to Mastery (2021) [En] 20.9 GB
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- 【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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- 【影视】 [GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R
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15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB
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lesson154.mp4 151.4 MB
lesson40.mp4 148.6 MB
lesson139.mp4 131.9 MB
lesson105.mp4 131.6 MB
lesson144.mp4 130.6 MB
lesson75.mp4 126.4 MB
lesson66.mp4 125.5 MB
lesson143.mp4 124.1 MB
lesson54.mp4 123.0 MB
lesson175.mp4 119.3 MB
lesson179.mp4 118.2 MB
lesson34.mp4 118.1 MB
lesson149.mp4 110.0 MB
lesson73.mp4 109.2 MB
lesson150.mp4 109.1 MB
lesson110.mp4 108.6 MB
lesson142.mp4 108.1 MB
lesson117.mp4 107.9 MB
lesson72.mp4 105.7 MB
lesson97.mp4 102.0 MB
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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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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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