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种子名称：
[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow
文件类型：
视频
文件数目：
32个文件
文件大小：
486.21 MB
收录时间：
2018-12-29 01:05
已经下载：
3次
资源热度：
236
最近下载：
2024-12-10 05:25
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magnet:?xt=urn:btih:e5bbb86506d83f6dd493e233313331c138e48ed4&dn=[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow
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种子包含的文件
[DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow.torrent
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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