Email: autuanliu@163.com
Date: 2018/9/15
- 神经网络的一般步骤
- A typical training procedure for a neural network is as follows:
- Define the neural network that has some learnable parameters (or weights)
- Iterate over a dataset of inputs
- Process input through the network
- Compute the loss (how far is the output from being correct)
- Propagate gradients back into the network’s parameters
- Update the weights of the network, typically using a simple update rule: weight = weight - learning_rate * gradient