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Understanding ANN Training and Activation by Sabir is a document available to read on EtoBox.

What is Understanding ANN Training and Activation about?

The document describes the design, training, and working of artificial neural networks (ANNs). The network is trained to classify samples into two classes (apples vs lemons) based on two input features (size and weight). Weights are initially randomized and updated using a learning rule to minimize errors until the network can correctly classify all training samples based on the separating line between classes. Once trained, the network can classify new unknown samples into the appropriate class.

Author

Sabir

Language

EN