[FreeTutorials.Us] data-science-deep-learning-in-theano-tensorflow
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2017-10-5 04:39 | 2024-11-4 15:35 | 222 | 490.85 MB | 33 |
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文件列表
- 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.mp44.64MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp45.99MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp48.78MB
- 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp411.11MB
- 02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp45.83MB
- 02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp413.98MB
- 03 Momentum and adaptive learning rates/007 Momentum.mp43.18MB
- 03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp414.6MB
- 03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp45.09MB
- 03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp410.98MB
- 04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp45.51MB
- 04 Choosing Hyperparameters/012 Grid Search in Code.mp413.76MB
- 04 Choosing Hyperparameters/013 Random Search in Code.mp47.93MB
- 05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp419.35MB
- 05 Theano/015 Building a neural network in Theano.mp421.79MB
- 06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp417.11MB
- 06 TensorFlow/017 Building a neural network in TensorFlow.mp423.84MB
- 07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp425.68MB
- 07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp45.22MB
- 07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp44.46MB
- 07 GPU Speedup Homework and Other Misc Topics/021 How to Improve your Theano and Tensorflow Skills.mp47.33MB
- 07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp49.13MB
- 08 Modern Regularization Techniques/023 Dropout Regularization.mp422.7MB
- 08 Modern Regularization Techniques/024 Dropout Intuition.mp46.14MB
- 09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp421.43MB
- 09 Project Facial Expression Recognition/026 The class imbalance problem.mp410.11MB
- 09 Project Facial Expression Recognition/027 Utilities walkthrough.mp413.48MB
- 09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp443.98MB
- 09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp437.39MB
- 10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp47.06MB
- 10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
- 10 Appendix/032 How to Code by Yourself part 1.mp424.53MB
- 10 Appendix/033 How to Code by Yourself part 2.mp414.8MB
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