please show the code of Adam algorithm
时间: 2024-03-27 18:36:10 浏览: 21
Sure, here's an example implementation of the Adam algorithm in Python using the PyTorch library:
```
import torch.optim as optim
# Define a neural network
model = MyNeuralNetwork()
# Define the optimizer with the Adam algorithm
optimizer = optim.Adam(model.parameters(), lr=0.001)
# Train the model using the optimizer
for epoch in range(num_epochs):
for input, target in dataset:
optimizer.zero_grad()
output = model(input)
loss = loss_function(output, target)
loss.backward()
optimizer.step()
```
In this example, `MyNeuralNetwork` is a custom neural network class, and `dataset` is a dataset object containing input-target pairs for training. The `optim.Adam` function is used to define the optimizer with a learning rate of 0.001. Inside the training loop, the optimizer's `zero_grad` method is called to clear the gradients, the neural network is evaluated on an input to produce an output, the loss is calculated, and gradients are computed and backpropagated through the network using the `backward` method. Finally, the optimizer's `step` method is called to update the network parameters based on the computed gradients.