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Introduction to Neural Networks Explained by Manjula Ravichandran is a document available to read on EtoBox.

What is Introduction to Neural Networks Explained about?

Neural networks are computational models inspired by the human brain, designed to perform tasks such as classification and pattern recognition efficiently. They consist of interconnected nodes that adjust weights during training to improve accuracy in problem-solving. Types of neural networks include Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), each suited for different data types and tasks.

Author

Manjula Ravichandran

Language

EN