Exploring the foundations of deep learning
Neural networks are computing systems inspired by biological neural networks in animal brains. They consist of interconnected nodes (neurons) that process information using connectionist approaches to computation.
Layers: Input, hidden, and output layers process data sequentially.
Weights: Adjustable parameters that determine signal strength.
Activation Functions: Non-linear functions like ReLU, sigmoid, tanh.