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Neural Networks and Backpropagation by yelen is a document available to read on EtoBox.

What is Neural Networks and Backpropagation about?

The document describes a neural network with one hidden layer for classification tasks. It defines the components of an artificial neuron, including inputs, weights, biases, activations and outputs. It then shows how multiple neurons can be connected in a layer and describes forwarding data through the network from input to output layers. The network is trained by minimizing the negative log-likelihood loss function to optimize the weights and biases to best fit the training data.

Author

yelen

Language

EN