How do I use PyTorch for deep learning?

How do I use PyTorch for deep learning?

To use PyTorch for deep learning, you start by installing it and then define your model using the nn.Module class.

Can you show me a simple example of a neural network in PyTorch?

Sure! Here's a simple feedforward neural network example:

import torch
import torch.nn as nn

class SimpleNN(nn.Module):
    def __init__(self):
        super(SimpleNN, self).__init__()
        self.fc1 = nn.Linear(10, 5)
        self.fc2 = nn.Linear(5, 1)

    def forward(self, x):
        x = torch.relu(self.fc1(x))
        x = self.fc2(x)
        return x

What are the main advantages of using PyTorch over TensorFlow?

PyTorch is known for its dynamic computation graph, which makes it easier to debug and modify models on the fly. It also has a more Pythonic interface.

How can I train a model using PyTorch?

To train a model in PyTorch, you typically define a loss function, an optimizer, and then loop through your data to update the model weights based on the loss.