Andrew-Coursera-DL课程-笔记part1-2（Shallow neural networks）
2017-10-06 13:26
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Neural Networks Overview
Neural Network Representation
Computing a Neural Network’s output
Vectorizing acorss multiple examples
Explanation for Vectorized Implementation
Activation functions
Why do you need non-linear activation functions
Derivatives of activation functions
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Gradient descent for Neural Networks
*号在这里表示 element product
Backpropagation intuition
Random Initialization
Neural Network Representation
Computing a Neural Network’s output
Vectorizing acorss multiple examples
Explanation for Vectorized Implementation
Activation functions
Why do you need non-linear activation functions
Derivatives of activation functions
L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast” width=”70%”>
Gradient descent for Neural Networks
*号在这里表示 element product
Backpropagation intuition
Random Initialization
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