[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
-
Updated
Nov 20, 2022 - Jupyter Notebook
[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…
Learning AND gate with perceptron learning algorithm
Single layer Neural Network
Implementation of the perceptron learning rule for learning a two-input AND gate
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.
Add a description, image, and links to the and-gate-implementation topic page so that developers can more easily learn about it.
To associate your repository with the and-gate-implementation topic, visit your repo's landing page and select "manage topics."