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4. Deeper networks
Multiple hidden layers Multi-layer neural networks def predict_with_network(input_data): # Calculate node 0 in the first hidden layer node_0_0_input = (input_data * weights['node_0_0']).sum()...原创 2019-12-22 15:57:35 · 814 阅读 · 0 评论 -
3.Activation functions
Applying an activation function in the hidden layers is to achieve the maximum predictive power of neural network. An activation function allows the model to capture non-linearities Applied to node i...原创 2019-12-22 07:56:15 · 235 阅读 · 0 评论 -
2. Forward propagation
Forward propagation algorithm It is how neural networks use data to make decisions The forward-propagation algorithm will pass this information through the network to make a prediction in the output l...原创 2019-12-22 06:52:03 · 235 阅读 · 0 评论