What are Neural Networks?
Neural networks are computational models inspired by the human brain. They consist of layers of interconnected nodes (neurons) that process and transmit information, enabling the network to learn patterns and make predictions from data.
Basic Neural Network Architecture
Architecture Diagram
A typical feedforward neural network with input layer, hidden layers, and output layer
Neurons & Activation
Learn about artificial neurons, activation functions, and how they process information to create complex patterns.
Training & Optimization
Understand backpropagation, gradient descent, and optimization techniques used to train neural networks.
Implementation
Hands-on tutorials for building neural networks using popular frameworks like PyTorch and TensorFlow.
Applications
Explore real-world applications of neural networks in computer vision, NLP, and other domains.