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What is Ann about?

The document provides an overview of Artificial Neural Networks (ANN), including their history, structure, types, and activation functions. It discusses various models such as the perceptron, learning methods, and different network architectures like feedforward and recurrent networks. Additionally, it covers the advantages and limitations of various activation functions like sigmoid, tanh, ReLU, and their variants.

Author

Srushti Bhujbal

Language

EN