What is a neural network at a high level (layers, weights)?

Neural networks

Layers of neurons apply weighted sums + nonlinear activations. Deep nets learn hierarchical features (edges → shapes → objects).

• Weights learned via backprop + gradient descent
• Need lots of data and compute