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Single-Layer Neural Network Basics by darthvader909 is a document available to read on EtoBox.

What is Single-Layer Neural Network Basics about?

The document discusses introductory concepts about neural networks including: 1. A perceptron is a single layer feed-forward neural network. Neural networks learn by example and mimic how the human brain works. 2. The best way to determine the optimal weights and biases in a neural network is to iteratively adjust them based on how far the current output is from the desired output. 3. A neural network becomes a deep learning model when multiple hidden layers are added to increase its depth.

Author

darthvader909

Language

EN