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NAND Gate Neural Network Design by Vibha Kota is a document available to read on EtoBox.
What is NAND Gate Neural Network Design about?
The document outlines the design and implementation of a two-layer perceptron network to simulate a NAND gate, including the assignment of weights, biases, and the learning rate. It details the forward and backward propagation steps, including calculations for net inputs, outputs, and error adjustments across iterations. The process is iterative, with the goal of minimizing the error until the desired output is achieved.
- Author
- Vibha Kota
- Language
- EN