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- 【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]
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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB
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- 【影视】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R
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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】 [FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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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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- 【影视】 TensorFlow 2 for Deep Learning Specialization
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[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/04_the-densevariational-layer/02_coding-tutorial-the-densevariational-layer.mp4 31.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/03_bijectors-and-normalising-flows/01_introduction-to-the-week/02_interview-with-doug-kelly.mp4 30.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/01_introduction-to-the-week-3-sequence-modelling/02_interview-with-doug-kelly.mp4 30.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/05_reparameterization-layers/02_coding-tutorial-reparameterization-layers.mp4 29.1 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/03_probabilistic-layers/02_coding-tutorial-probabilistic-layers.mp4 24.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/04_model-subclassing-and-custom-training-loops/04_custom-training-loops/02_coding-tutorial-custom-training-loops.mp4 21.8 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/01_introduction-to-the-course/06_interview-with-paige-bailey.mp4 20.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/03_embeddings/03_coding-tutorial-the-embedding-projector.mp4 20.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/03_validation-regularisation-and-callbacks/01_introduction-to-the-week-validation-regularisation-and-callbacks/02_interview-with-andrew-ng.mp4 19.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/04_the-densevariational-layer/01_the-densevariational-layer.mp4 19.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/04_variational-autoencoders/04_maximising-the-elbo/01_maximising-the-elbo.mp4 18.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/02_dataset-generators/03_coding-tutorial-dataset-generators.mp4 18.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/04_the-independent-distribution/02_coding-tutorial-the-independent-distribution.mp4 18.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/05_training-with-datasets/02_coding-tutorial-training-with-datasets.mp4 17.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/01_keras-datasets/03_coding-tutorial-keras-datasets.mp4 17.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/04_saving-and-loading-models/02_model-saving-criteria/02_coding-tutorial-model-saving-criteria.mp4 17.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/01_introduction-to-tensorflow/03_whats-new-in-tensorflow-2/02_interview-with-laurence-moroney.mp4 16.9 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/05_stacked-and-bidirectional-rnns/02_coding-tutorial-stacked-rnns-and-the-bidirectional-wrapper.mp4 16.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/01_introduction-to-tensorflow/06_installing-tensorflow-optional/03_coding-tutorial-running-tensorflow-with-docker.mp4 16.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/06_trainable-distributions/02_coding-tutorial-trainable-distributions.mp4 16.0 MB
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收录时间:2018-11-10
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00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00001 The_Course_Overview.mp4 9.9 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00016 Stacking_Multiple_LSTM_Layers.mp4 9.8 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 MB
00019 Using_Multiple_Executors.mp4 8.5 MB
00020 Parallelizing_TensorFlow.mp4 9.7 MB
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- 【影视】 Learning TensorFlow with JavaScript
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收录时间:2018-09-17
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3.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
1.Introduction/01.Learning TensorFlow.mp4 5.6 MB
1.Introduction/02.Course prerequisites.en.srt 1.5 kB
1.Introduction/02.Course prerequisites.mp4 1.3 MB
2.1. Introduction and Setup/03.Introduction to TensorFlow.en.srt 3.2 kB
2.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
2.1. Introduction and Setup/04.Differences between versions.en.srt 2.1 kB
2.1. Introduction and Setup/04.Differences between versions.mp4 1.8 MB
2.1. Introduction and Setup/05.Introduction to machine learning.en.srt 3.9 kB
2.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
2.1. Introduction and Setup/06.A TensorFlow demo.en.srt 5.8 kB
2.1. Introduction and Setup/06.A TensorFlow demo.mp4 9.7 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.en.srt 6.9 kB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.9 MB
3.2. TensorFlow Basics/08.Your first tensor.en.srt 4.3 kB
3.2. TensorFlow Basics/08.Your first tensor.mp4 7.0 MB
3.2. TensorFlow Basics/09.Tensors and variables.en.srt 6.8 kB
3.2. TensorFlow Basics/09.Tensors and variables.mp4 12.0 MB
3.2. TensorFlow Basics/10.Operations, or ops.en.srt 9.7 kB
1.Introduction/01.Learning TensorFlow.en.srt 2.1 kB
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
01.Understanding the Reinforcement Learning Framework/0102.Introduction to Reinforcement Learning.mp4 15.1 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 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/0201.The Taxi-v2 Environment.mp4 43.5 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
02.Training a Smartcab Using Q-Learning/0203.Introducing Reinforcement Q-Learning.mp4 14.0 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 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/0301.The Cartpole Environment.mp4 33.5 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
04.Deep Reinforcement Learning with TensorFlow/0401.Introducing Deep Q-Networks.mp4 14.5 MB
04.Deep Reinforcement Learning with TensorFlow/0402.The DQN Training Algorithm.mp4 11.4 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 28.5 MB
1. Introduction/01. Welcome.mp4 5.0 MB
1. Introduction/02. What you should know.en.srt 940 Bytes
1. Introduction/02. What you should know.mp4 668.9 kB
1. Introduction/03. Using the exercise files.en.srt 1.0 kB
1. Introduction/03. Using the exercise files.mp4 986.1 kB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.en.srt 6.2 kB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11.5 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.en.srt 11.2 kB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20.5 MB
3. 2. TensorFlow Overview/06. What is TensorFlow.en.srt 6.7 kB
3. 2. TensorFlow Overview/06. What is TensorFlow.mp4 4.8 MB
3. 2. TensorFlow Overview/07. Why is it called TensorFlow.en.srt 2.7 kB
3. 2. TensorFlow Overview/07. Why is it called TensorFlow.mp4 2.3 MB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.en.srt 5.7 kB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.mp4 5.0 MB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.en.srt 12.1 kB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9.8 MB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.en.srt 10.5 kB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11.1 MB
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3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
0.Introduction/01.Welcome.mp4 5.1 MB
0.Introduction/02.What you should know.en.srt 3.2 kB
0.Introduction/02.What you should know.mp4 2.8 MB
0.Introduction/03.Using the exercise files.en.srt 1.7 kB
0.Introduction/03.Using the exercise files.mp4 2.2 MB
1.1. Introducing TensorFlow/04.Overview and installation.en.srt 5.7 kB
1.1. Introducing TensorFlow/04.Overview and installation.mp4 5.4 MB
1.1. Introducing TensorFlow/05.Getting started.en.srt 4.7 kB
1.1. Introducing TensorFlow/05.Getting started.mp4 3.9 MB
1.1. Introducing TensorFlow/06.Running a simple application.en.srt 3.5 kB
1.1. Introducing TensorFlow/06.Running a simple application.mp4 6.2 MB
2.2. Fundamentals of TensorFlow Development/07.Creating tensors.en.srt 8.3 kB
2.2. Fundamentals of TensorFlow Development/07.Creating tensors.mp4 6.5 MB
2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.en.srt 5.7 kB
2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.mp4 4.5 MB
2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.en.srt 5.2 kB
2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.mp4 4.3 MB
2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.en.srt 6.9 kB
2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.mp4 5.4 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 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/01.The Course Overview.mp4 81.2 MB
2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 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/14.Sequence to Sequence Models.mp4 11.4 MB
3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB
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tensorflowdeeplearningsolutionsforimages_video.docx 18.1 kB
video1_1.mp4 7.7 MB
video1_2.mp4 14.1 MB
video1_3.mp4 8.1 MB
video1_4.mp4 5.7 MB
video1_5.mp4 11.3 MB
video2_1.mp4 8.8 MB
video2_2.mp4 9.7 MB
video2_3.mp4 8.9 MB
video2_4.mp4 6.7 MB
video3_1.mp4 6.4 MB
video3_2.mp4 4.4 MB
video3_3.mp4 11.2 MB
video3_4.mp4 6.9 MB
video3_5.mp4 7.8 MB
video3_6.mp4 9.7 MB
video3_7.mp4 5.1 MB
video3_8.mp4 15.6 MB
video4_1.mp4 7.5 MB
video4_2.mp4 8.0 MB
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收录时间:2018-07-22
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video4_4.mp4 16.9 MB
video1_1.mp4 7.7 MB
video1_2.mp4 14.1 MB
video1_3.mp4 8.1 MB
video1_4.mp4 5.7 MB
video1_5.mp4 11.3 MB
video2_1.mp4 8.8 MB
video2_2.mp4 9.7 MB
video2_3.mp4 8.9 MB
video2_4.mp4 6.7 MB
video3_1.mp4 6.4 MB
video3_2.mp4 4.4 MB
video3_3.mp4 11.2 MB
video3_4.mp4 6.9 MB
video3_5.mp4 7.8 MB
video3_6.mp4 9.7 MB
video3_7.mp4 5.1 MB
video3_8.mp4 15.6 MB
video4_1.mp4 7.5 MB
video4_2.mp4 8.0 MB
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Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第10期】.mp4 191.7 MB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第1期】.mp4 869.2 MB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第2期】.mp4 1.1 GB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第3期】.mp4 737.9 MB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第4期】.mp4 1.0 GB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第5期】.mp4 633.6 MB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第6期】.mp4 1.5 GB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第7期】.mp4 1.2 GB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第8期】.mp4 521.7 MB
Tensorflow源码级技术分享集/Tensorflow源码级技术分享【第9期】.mp4 246.2 MB
Tensorflow视频教程/Tensorflow 1 why .mp4 3.2 MB
Tensorflow视频教程/Tensorflow 10 添加层.mp4 32.4 MB
Tensorflow视频教程/Tensorflow 11 建造神经网络.mp4 67.9 MB
Tensorflow视频教程/Tensorflow 12 结果可视化.mp4 23.5 MB
Tensorflow视频教程/Tensorflow 13 优化器.mp4 17.2 MB
Tensorflow视频教程/Tensorflow 14 可视化好帮手1.mp4 61.5 MB
Tensorflow视频教程/Tensorflow 15 可视化好帮手2.mp4 27.6 MB
Tensorflow视频教程/Tensorflow 16 分类学习.mp4 36.6 MB
Tensorflow视频教程/Tensorflow 17 dropout 解决overfitting 问题.mp4 44.2 MB
Tensorflow视频教程/Tensorflow 18-1 CNN卷积神经网络1.mp4 30.0 MB
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1 - Course Overview/1 - Course Overview.mp4 3.8 MB
2 - Introduction/1 - Introduction.mp4 5.4 MB
2 - Introduction/2 - TensorFlow as Interface and Implementation.mp4 5.9 MB
2 - Introduction/3 - Why Is It Called TensorFlow.mp4 3.9 MB
2 - Introduction/4 - Skills and Course Structure.mp4 8.2 MB
3 - Introducing TensorFlow/1 - Introduction.mp4 1.2 MB
3 - Introducing TensorFlow/2 - Installing TensorFlow.mp4 32.0 MB
3 - Introducing TensorFlow/3 - Getting Hands-on.mp4 6.3 MB
3 - Introducing TensorFlow/4 - Building Our First Model.mp4 2.7 MB
3 - Introducing TensorFlow/5 - TensorFlow Training.mp4 27.0 MB
3 - Introducing TensorFlow/6 - Tensor Properties.mp4 5.1 MB
3 - Introducing TensorFlow/7 - Gradient Descent.mp4 6.4 MB
3 - Introducing TensorFlow/8 - Gradient Descent in Action.mp4 7.2 MB
3 - Introducing TensorFlow/9 - Summary.mp4 1.0 MB
4 - Creating Neural Networks in TensorFlow/1 - Introduction.mp4 2.7 MB
4 - Creating Neural Networks in TensorFlow/2 - Introduction to Neural Networks.mp4 5.5 MB
4 - Creating Neural Networks in TensorFlow/3 - Neural Network Symbology and Terminology.mp4 3.0 MB
4 - Creating Neural Networks in TensorFlow/4 - Simple MNIST.mp4 23.4 MB
4 - Creating Neural Networks in TensorFlow/5 - Deep MNIST.mp4 8.4 MB
4 - Creating Neural Networks in TensorFlow/6 - Coding Deep MNIST.mp4 23.3 MB
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01 Outline and Review/001 Introduction and Outline.mp4 3.1 MB
01 Outline and Review/002 Review of Important Concepts.mp4 6.0 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.9 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
02 Convolution/009 Convolution example with images Edge Detection.mp4 8.3 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
03 Convolutional Neural Network Description/012 Translational Invariance.mp4 3.8 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
03 Convolutional Neural Network Description/014 Relationship to Biology.mp4 4.1 MB
03 Convolutional Neural Network Description/015 Convolution and Pooling Gradients.mp4 4.4 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
04 Convolutional Neural Network in Theano/017 Theano - Building the CNN components.mp4 7.3 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
05 Convolutional Neural Network in TensorFlow/020 TensorFlow - Building the CNN components.mp4 6.2 MB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB
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- 【影视】 Deep learning with TensorFlow [Video]
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CODE/5582_01_Code/5582_01_02_Code/install.sh 453 Bytes
CODE/5582_01_Code/5582_01_03_Code/simple.py 2.2 kB
CODE/5582_01_Code/5582_01_04_Code/data_with_labels.npz 3.6 MB
CODE/5582_01_Code/5582_01_04_Code/logistic.py 3.2 kB
CODE/5582_01_Code/5582_01_05_Code/logistic.py 3.2 kB
CODE/5582_02_Code/5582_02_01_Code/basic_nn.py 1.2 kB
CODE/5582_02_Code/5582_02_02_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_03_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_04_Code/mlp.py 3.7 kB
CODE/5582_02_Code/5582_02_05_Code/mlp.py 3.7 kB
CODE/5582_03_Code/5582_03_02_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_04_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_05_Code/conv.py 5.2 kB
CODE/5582_03_Code/5582_03_05_Code/data_with_labels.npz 3.6 MB
CODE/5582_03_Code/5582_03_06_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/data_with_labels.npz 3.6 MB
CODE/5582_04_Code/5582_04_01_Code/rnn.odg 10.2 kB
CODE/5582_04_Code/5582_04_01_Code/rnn_tf.py 3.8 kB
CODE/5582_04_Code/5582_04_01_Code/weather.npz 285.7 kB
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- 【影视】 python Tensorflow 视频教程 (带源码)
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tensorflowTUT源码/tensorflow8_feeds.py 357 Bytes
tensorflowTUT源码/tf5_example2/for_you_to_practice.py 419 Bytes
tensorflowTUT源码/tensorflow7_variable.py 513 Bytes
tensorflowTUT源码/tensorflow6_session.py 515 Bytes
tensorflowTUT源码/tensorflow10_def_add_layer.py 547 Bytes
tensorflowTUT源码/tf5_example2/full_code.py 847 Bytes
tensorflowTUT源码/tf11_build_network/for_you_to_practice.py 892 Bytes
tensorflowTUT源码/tf16_classification/for_you_to_practice.py 894 Bytes
tensorflowTUT源码/tf19_saver.py 1.1 kB
tensorflowTUT源码/tf14_tensorboard/for_you_to_practice.py 1.2 kB
tensorflowTUT源码/tf11_build_network/full_code.py 1.6 kB
tensorflowTUT源码/tf12_plot_result/for_you_to_practice.py 1.6 kB
tensorflowTUT源码/tensorflow11_build_network.py 1.6 kB
tensorflowTUT源码/tf14_tensorboard/full_code.py 1.7 kB
tensorflowTUT源码/tf18_CNN2/for_you_to_practice.py 1.7 kB
tensorflowTUT源码/tf17_dropout/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf15_tensorboard/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf16_classification/full_code.py 2.0 kB
tensorflowTUT源码/tf12_plot_result/full_code.py 2.0 kB
tensorflowTUT源码/tensorflow12_plut_result.py 2.0 kB
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01-The Course Overview.mp4 11.6 MB
02-Installing TensorFlow.mp4 21.5 MB
02-Installing TensorFlow.txt 334 Bytes
03-Simple Computations.mp4 21.4 MB
03-Simple Computations.txt 343 Bytes
04-Logistic Regression Model Building.mp4 27.1 MB
04-Logistic Regression Model Building.txt 392 Bytes
05-Logistic Regression Training.mp4 19.2 MB
05-Logistic Regression Training.txt 383 Bytes
06-Basic Neural Nets.mp4 20.3 MB
06-Basic Neural Nets.txt 453 Bytes
07-Single Hidden Layer Model.mp4 19.8 MB
07-Single Hidden Layer Model.txt 244 Bytes
08-Single Hidden Layer Explained.mp4 17.9 MB
08-Single Hidden Layer Explained.txt 270 Bytes
09-Multiple Hidden Layer Model.mp4 20.8 MB
09-Multiple Hidden Layer Model.txt 446 Bytes
10-Multiple Hidden Layer Results.mp4 18.2 MB
10-Multiple Hidden Layer Results.txt 289 Bytes
11-Convolutional Layer Motivation.mp4 13.4 MB
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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 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
3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
4.5-Using TensorBoard on Our CNN - Machine Learning with TensorFlow [Video].mp4 3.6 MB
content.txt 2.7 kB
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