Backpropagation

# Backpropagation: Calculating Gradients For Weight Updates Ever wondered how a neural network learns to recognize your cat in a picture or translate languages with impressive accuracy? The secret lies in a powerful algorithm called **backpropagation**. It's the engine that drives the learning process by allowing neural networks to adjust their internal parameters (weights and biases) based on the errors they make. Without backpropagation, deep learning as we know it wouldn't exist. In this c