03 Neural Networks (ANN) for Data Engineers | How Neural Networks Work | Complete Basics for NN
Summary
This video explains how artificial neural networks (ANNs) work, detailing the components of a neuron (inputs, weights, bias, activation function) and how they form layers in a network. It also covers the training process, including forward propagation, loss calculation, and backpropagation using gradient descent to adjust weights and biases.
Summary generated by brickster.ai from the video transcript.
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