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[FreeCourseSite.com] Udemy - Modern Deep Learning in Python
magnet:?xt=urn:btih:c317a7c02cce491dc0cd33731a421b1c6acd060c&dn=[FreeCourseSite.com] Udemy - Modern Deep Learning in Python
磁力链接详情
Hash值:
c317a7c02cce491dc0cd33731a421b1c6acd060c
点击数:
58
文件大小:
490.85 MB
文件数量:
33
创建日期:
2019-6-17 21:11
最后访问:
2024-6-30 09:24
访问标签:
FreeCourseSite
com
Udemy
-
Modern
Deep
Learning
in
Python
文件列表详情
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 4.64 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 5.83 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 13.98 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.18 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 14.6 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.09 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 10.98 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.51 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 13.76 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 7.93 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 19.35 MB
05 Theano/015 Building a neural network in Theano.mp4 21.79 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.11 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 23.84 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 25.68 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.22 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.46 MB
07 GPU Speedup Homework and Other Misc Topics/021 How to Improve your Theano and Tensorflow Skills.mp4 7.33 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.13 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 22.7 MB
08 Modern Regularization Techniques/024 Dropout Intuition.mp4 6.14 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 21.43 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.11 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 13.48 MB
09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 43.98 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 37.39 MB
10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp4 7.06 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.92 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 24.53 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 14.8 MB
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