[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

In this project, I used Hebbian, Perceptron and Adaline neural networks to implement AND gate, and OR gate.

Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.

Digital Logic Design using VHDL All material in this repo will cover the VHDL and CAD tools. Additional topics will include Boolean algebra, combinational logic circuits, minimization techniques, AND, OR, NOT, NAND, NOR gates, implementation of sequential circuits, and synthesis techniques of logic circuits using VHDL. The following will contain…

Single layer Neural Network

Implementation of the perceptron learning rule for learning a two-input AND gate

Learning AND gate with perceptron learning algorithm

The most basic concept of how neural network works. In this notebook I have implemented the neural network to see how the and gate is implemented using neural networks.

This project implements a basic AND gate in Verilog, demonstrating fundamental digital logic design. The AND gate performs a logical AND operation between two inputs, while a testbench verifies its functionality through simulation. This project serves as a practical example of modeling and testing digital logic in hardware description languages.