Deep Learning
15 min
Backpropagation Explained: How Neural Networks Learn
Learn how backpropagation works: the chain rule, a fully worked numeric example, a NumPy implementation with gradient checking, and common pitfalls.
Xray AI Lab
Neural networks, backpropagation and modern architectures.
Learn how backpropagation works: the chain rule, a fully worked numeric example, a NumPy implementation with gradient checking, and common pitfalls.
Discover a structured deep learning roadmap covering math prerequisites, environment setup, and dedicated tracks for computer vision, NLP, and generative AI.
Understand convolution and pooling with runnable NumPy examples, then build, train, and evaluate a CNN image classifier in PyTorch (with a Keras version).