- 【影视】 Udemy - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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8 - Object Detection with YOLO/97 - YOLO v3.mp4 643.9 MB
8 - Object Detection with YOLO/91 - Modeling YOLO v1.mp4 502.5 MB
12 - Question Answering with TensorFlow 2/126 - LSH Attention.mp4 502.0 MB
5 - Introduction to Deep Computer Vision with TensorFlow 2/66 - Transfer Learning and FineTuning.mp4 461.3 MB
11 - Neural Machine Translation with TensorFlow 2/116 - Attention Mechanism Bahdanau Attention.mp4 441.9 MB
11 - Neural Machine Translation with TensorFlow 2/117 - Transformers Theory.mp4 435.7 MB
8 - Object Detection with YOLO/90 - Pascal VOC Dataset.mp4 422.1 MB
5 - Introduction to Deep Computer Vision with TensorFlow 2/65 - EfficientNet.mp4 412.8 MB
3 - Introduction to Machine Learning/38 - Neural Networks Training and Optimization.mp4 383.9 MB
5 - Introduction to Deep Computer Vision with TensorFlow 2/57 - Introduction to Convolutional Neural Networks.mp4 377.1 MB
11 - Neural Machine Translation with TensorFlow 2/118 - Building Transformers with TensorFlow 2.mp4 331.2 MB
10 - People Counting/106 - Dataset Preparation.mp4 317.9 MB
12 - Question Answering with TensorFlow 2/128 - BERT Practice.mp4 302.6 MB
6 - Introduction to Deep NLP with TensorFlow 2/73 - Imdb Dataset Code.mp4 301.5 MB
15 - Image Generative Modeling/146 - Wasserstein GAN.mp4 291.0 MB
8 - Object Detection with YOLO/95 - Performance Measurement Mean Average Precision mAP.mp4 279.9 MB
6 - Introduction to Deep NLP with TensorFlow 2/82 - Word2Vec Practice.mp4 259.2 MB
10 - People Counting/109 - Data Augmentation.mp4 257.4 MB
3 - Introduction to Machine Learning/24 - Linear Regression.mp4 252.7 MB
14 - Image Captioning/140 - Vision Transformers.mp4 249.9 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Object Detection And Recognition Using TensorFlow And Python
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~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 98.7 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 71.5 MB
~Get Your Files Here !/8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4 65.2 MB
~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4 59.3 MB
~Get Your Files Here !/6. DOWNLOAD THE MODEL AND FEATURES.mp4 52.8 MB
~Get Your Files Here !/4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4 36.5 MB
~Get Your Files Here !/2. INTRO TO PROJECT FIRST CLASS.mp4 32.3 MB
~Get Your Files Here !/7. EXTRACT THE MODEL AND FILES.mp4 18.5 MB
~Get Your Files Here !/10. CONCLUSION FOR THE PROJECT.mp4 13.6 MB
~Get Your Files Here !/1. INTRODUCTION TO COURSE PROJECT.mp4 13.6 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
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- 【影视】 TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications [Video]
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
1.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB
1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB
2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
1.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB
3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
3.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB
3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB
4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
3.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
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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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4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
3. Linear Regression/3. Tensorflow Architecture.mp4 79.7 MB
6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 MB
3. Linear Regression/5. Plotting Data with Noise.mp4 59.7 MB
4. Image Processing & Model Training/5. Understanding the Model.mp4 57.2 MB
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- 【影视】 [FreeTutorials.Us] deep-learning-convolutional-neural-networks-theano-tensorflow
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07 Project Facial Expression Recognition/026 Convolutional Net in Theano.mp4 54.2 MB
07 Project Facial Expression Recognition/027 Convolutional Net in TensorFlow.mp4 50.0 MB
08 Appendix/028 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
08 Appendix/029 How to Code by Yourself part 1.mp4 25.7 MB
05 Convolutional Neural Network in TensorFlow/021 TensorFlow - Full CNN and Test on SVHN.mp4 25.2 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
07 Project Facial Expression Recognition/023 Facial Expression Recognition Problem Description.mp4 22.5 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
08 Appendix/030 How to Code by Yourself part 2.mp4 15.5 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
07 Project Facial Expression Recognition/025 Utilities walkthrough.mp4 14.1 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
07 Project Facial Expression Recognition/024 The class imbalance problem.mp4 10.6 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
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- 【影视】 [ TutGator.com ] Linkedin - TensorFlow - Working with Images
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~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.mp4 48.6 MB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.mp4 42.3 MB
~Get Your Files Here !/4. Monitoring the Training Process/014. Using ModelCheckpoint.mp4 39.0 MB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.mp4 36.5 MB
~Get Your Files Here !/2. Neural Networks and Images/007. Solution Experiment with hyperparameters.mp4 32.3 MB
~Get Your Files Here !/2. Neural Networks and Images/005. Working with color images and neural networks.mp4 29.6 MB
~Get Your Files Here !/3. Transfer Learning/012. TensorFlow Hub for CIFAR-10.mp4 24.2 MB
~Get Your Files Here !/1. Introduction/003. What is TensorFlow.mp4 23.1 MB
~Get Your Files Here !/3. Transfer Learning/009. TensorFlow Hub.mp4 22.1 MB
~Get Your Files Here !/2. Neural Networks and Images/006. Challenge Experiment with hyperparameters.mp4 16.8 MB
~Get Your Files Here !/3. Transfer Learning/010. What is transfer learning.mp4 14.8 MB
~Get Your Files Here !/3. Transfer Learning/008. Why the poor performance with neural networks.mp4 11.0 MB
~Get Your Files Here !/4. Monitoring the Training Process/013. Monitoring the training process.mp4 7.8 MB
~Get Your Files Here !/4. Monitoring the Training Process/015. Working with EarlyStopping.mp4 7.5 MB
~Get Your Files Here !/1. Introduction/001. Work with gray and color images using transfer learning and fine-tuning.mp4 5.9 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.0 MB
~Get Your Files Here !/5. Conclusion/017. Next steps.mp4 3.4 MB
~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.en.srt 9.2 kB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.en.srt 8.2 kB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.en.srt 7.0 kB
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05. Training neural networks with Tensorflow 2 and Keras Functional API/01. Neural Networks with Keras Functional API.mp4 35.1 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/02. Activation functions.mp4 25.6 MB
02. Introduction to TensorFlow/01. Introduction to Tensorflow.mp4 23.8 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/04. Neural Networks with Keras Sequential API.mp4 23.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/03. Getting the data ready for model training.mp4 21.9 MB
02. Introduction to TensorFlow/03. Components of TensorFlow- Tensors and Variables.mp4 20.4 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/03. Activation functions- Pitfalls to avoid in Backpropagation.mp4 18.9 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/04. Regularization- Dropout.mp4 18.3 MB
06. Summary/01. Course Summary.mp4 17.0 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/02. Regularization- The Basics.mp4 16.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/12. Training on Large Datasets with tf.data API.mp4 14.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/02. Working in-memory and with files.mp4 13.2 MB
02. Introduction to TensorFlow/02. TensorFlow API Hierarchy.mp4 12.4 MB
02. Introduction to TensorFlow/05. Getting Started With GCP And Qwiklabs.mp4 11.3 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/03. Regularization- L1, L2, and Early Stopping.mp4 10.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/05. Serving models in the Cloud.mp4 9.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/01. Overview.mp4 7.5 MB
01. Introduction to course/01. Intro to Course.mp4 6.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/06. Lab intro Keras Functional API.mp4 4.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/15. Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets.mp4 3.0 MB
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[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/8. Transfer Learning/2. Data Augmentation.mp4 102.1 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/10. Generative Deep Learning/2. Neural Style Transfer Implementation part 1.mp4 92.2 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/9. GAN/3. DCGAN Project.mp4 91.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/6. facial expression recognition 1.mp4 87.7 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/8. Transfer Learning/1. CNN Transfer Learning.mp4 84.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/4. cat dog classification.mp4 83.5 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/10. Generative Deep Learning/3. Neural Style Transfer Implementation part 2.mp4 80.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/8. leaf diseases 1.mp4 77.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/6. RNN/3. Text classification.mp4 75.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/7. Autoencoders/1. Introduction to Autoencoders.mp4 74.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/3. MNIST digit classification.mp4 72.4 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/3. Neural Network and Tensorflow/2. Introduction to Neural Network.mp4 70.4 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/3. Fashion MNIST Part 1.mp4 69.8 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/7. Autoencoders/2. implementation of autoencoder.mp4 68.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/4. Fashion MNIST Part 2.mp4 68.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/5. Fashion MNIST Part 3.mp4 64.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/3. Neural Network and Tensorflow/9. Gradient Descent.mp4 63.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/2. CIFAR 10.mp4 62.2 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/11. Crash Course on Data Science Libraries/1. Python for Data Analysis- Numpy.mp4 59.1 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/6. RNN/1. RNN INTRODUCTION.mp4 58.5 MB
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[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4 151.3 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4 110.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp4 88.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp4 69.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp4 51.8 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp4 43.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp4 42.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp4 41.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp4 40.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp4 39.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp4 35.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp4 34.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp4 33.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp4 32.7 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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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 28.5 MB
5. 4. Training a Model in TensorFlow/16. Log.mp4 26.2 MB
4. 3. Creating a TensorFlow Model/12. Load the data set.mp4 24.4 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20.5 MB
7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4 17.0 MB
6. 5. TensorBoard/19. Visualize training runs.mp4 16.5 MB
6. 5. TensorBoard/18. Visualize the computational graph.mp4 14.8 MB
7. 6. Using a Trained TensorFlow/23. Host your model in the cloud with Google Cloud.mp4 13.9 MB
5. 4. Training a Model in TensorFlow/15. Train.mp4 13.3 MB
7. 6. Using a Trained TensorFlow/24. Use a model in the cloud.mp4 12.3 MB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11.5 MB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11.1 MB
6. 5. TensorBoard/20. Add custom visualizations to TensorBoard.mp4 10.4 MB
4. 3. Creating a TensorFlow Model/14. Set up the model training loop.mp4 9.9 MB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9.8 MB
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
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4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. 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/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. 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
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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
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16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
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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
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1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
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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
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
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03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
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video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
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video1_1.mp4 7.7 MB
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