FreeCourseSite com Udemy Modern Deep Learning in Python |
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Total Size |
514.7 MB |
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Total Files |
36 |
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Hash |
C317A7C02CCE491DC0CD33731A421B1C6ACD060C |
/01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/ |
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001 Outline - what did you learn previously and what will you learn in this course.mp4 |
4.9 MB |
002 Where does this course fit into your deep learning studies.mp4 |
6.3 MB |
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9.2 MB |
004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 |
11.7 MB |
/02 Gradient Descent Full vs Batch vs Stochastic/ |
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6.1 MB |
006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 |
14.7 MB |
/03 Momentum and adaptive learning rates/ |
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3.3 MB |
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15.3 MB |
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5.3 MB |
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11.5 MB |
/04 Choosing Hyperparameters/ |
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011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 |
5.8 MB |
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14.4 MB |
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8.3 MB |
/05 Theano/ |
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014 Theano Basics Variables Functions Expressions Optimization.mp4 |
20.3 MB |
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22.8 MB |
/06 TensorFlow/ |
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016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 |
17.9 MB |
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25.0 MB |
/07 GPU Speedup Homework and Other Misc Topics/ |
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26.9 MB |
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5.5 MB |
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4.7 MB |
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7.7 MB |
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9.6 MB |
/08 Modern Regularization Techniques/ |
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23.8 MB |
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6.4 MB |
/09 Project Facial Expression Recognition/ |
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22.5 MB |
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10.6 MB |
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14.1 MB |
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46.1 MB |
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39.2 MB |
/10 Appendix/ |
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030 Manually Choosing Learning Rate and Regularization Penalty.mp4 |
7.4 MB |
031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 |
46.0 MB |
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25.7 MB |
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15.5 MB |
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Total files 36 |
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