Deep Learning for Beginners

Deep Learning is a subset of machine learning that is based entirely on artificial neural networks, functioning similarly to how a human brain learns.

2. Artificial Neural Networks

Inspired by biological neurons, ANNs consist of layers of interconnected nodes that process information in stages.

Each connection has a weight that is adjusted during training to minimize errors.

8. Deep Learning Example (PyTorch)

This snippet shows a basic linear layer in PyTorch, the leading framework for AI research.

import torch
import torch.nn as nn

# Linear Model
model = nn.Linear(in_features=1, out_features=1)
input_data = torch.tensor([[5.0]])

prediction = model(input_data)
print(prediction)