Backpropagation Algorithm in Neural Network

Insightforge | AI & Data Science on Instagram: "In a neural network, each layer applies a series of mathematical operations that steadily transform the input into the final output. First, the data passes through the initial layer, where it’s multiplied by weights, combined with biases, and then passed through an activation function that introduces nonlinearity. This transformation continues layer by layer until the network produces its output. During training, the model evaluates how far its pre

Neural networks: training with backpropagation.

Backpropagation in neural networks step-by-step explained