Getting Started with Machine Learning using Python and PyTorch

Getting Started with PyTorch

PyTorch is one of the most popular frameworks for machine learning and deep learning. Let's build your first neural network.

Setting Up Your Environment

pip install torch torchvision numpy matplotlib

Your First Neural Network

import torch
import torch.nn as nn

class SimpleNN(nn.Module):
    def __init__(self):
        super().__init__()
        self.layers = nn.Sequential(
            nn.Linear(784, 128),
            nn.ReLU(),
            nn.Linear(128, 10)
        )

    def forward(self, x):
        return self.layers(x)

model = SimpleNN()
print(model)

Training the Model

Training involves forward propagation, loss calculation, and backpropagation to update weights.

Conclusion

PyTorch makes it easy to build and train neural networks. Start with simple models and gradually increase complexity.