Udacity Deep Learning Foundation v1 |
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Part 02 Module 03 Lesson 01 MiniFlow 03 MiniFlow Architecture html |
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/Part 02-Module 03-Lesson 01_MiniFlow/03. MiniFlow Architecture.html |
10.3 KB |
/Part 02-Module 03-Lesson 01_MiniFlow/07. Linear Transform.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/08. Sigmoid Function.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/04. Forward Propagation.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/01. Welcome to MiniFlow.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/11. Gradient Descent.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/06. Learning and Loss.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/10. Cost Solution.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/12. Backpropagation.html |
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/Part 02-Module 03-Lesson 01_MiniFlow/13. Stochastic Gradient Descent.html |
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Showing first 15 files of 3746 total files |
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