deeplearning.ai深度学习课程字幕翻译项目-python
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2021-06-18
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Yukong-Deeplearning-ai-Solutions.zip （45个子文件） 
Deeplearning.ai-Solutions-master 02.Improving Deep Neural Networks- Hyperparameter tuning- Regularization and Optimization 
1.2Bias Variance.srt 21KB thanks.md 6KB .idea Deeplearning.ai-Solutions.iml 459B misc.xml 225B encodings.xml 122B modules.xml 302B preferred-vcs.xml 176B vcs.xml 180B tools ConvertToUTF8.py 2KB README.md 6KB GTC_Yukon.md 3KB srt 01.Neural-Networks-and-Deep-Learning 02.Neural-Networks-Basics 19.Heroes of Deep Learning (Optional) Pieter Abeel interview.srt 42KB 16.A note on python_numpy vectors.srt 14KB 06.More Derivative Examples.srt 23KB 14.Vectorizing Logistic Regression's Gradient Output.srt 15KB 17.Quick tour of Jupyter_iPython Notebooks.srt 9KB 04.Gradient Descent.srt 23KB 09.Logistic Regression Gradient Descent.srt 14KB 07.Computation graph.srt 7KB 12.More Examples of Vectorization.srt 10KB 15.Broadcasting in Python.srt 21KB 02.Logistic Regression.srt 12KB 01.Binary Classification.srt 17KB 13.Vectorizing Logistic Regression.srt 14KB 03.Logistic Regression Cost Function.srt 17KB 08.Derivatives with a Computation Graph.srt 28KB 11.Vectorization.srt 14KB 18.Explanation of logistic regression cost function (optional).srt 13KB 10.Gradient Descent on m Examples.srt 18KB 05.Derivatives.srt 16KB 01.Introduction-to-Deep-Learning 06.Course Resources.srt 5KB 05.About this Course.srt 7KB 04.Why is Deep Learning taking off.srt 26KB 01.Welcome.srt 14KB 03.Supervised Learning with Neural Networks.srt 18KB 02.What is a neural network.srt 15KB 03.Shallow neural networks 10.Backpropagation intuition.srt 24KB 02.Neural Network Representation.srt 14KB 09.Gradient descent for Neural Networks .srt 17KB 03.Computing a Neural Network's Output.srt 22KB 11.Random-Initialization.srt 15KB 06.Activation functions.srt 24KB 11.Random Initialization_SPS.srt 19KB 04.Vectorizing across multiple examples.srt 17KB 01.Neural Networks Overview.srt 9KB资源评论
