Various applications of deep learning have been demonstrated.

My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani

Image Recognition With Neural Networks In Keras

Create any number of layers of feed-forward neural network (MLPs) easily.

Machine Learning, Deep Learning and Data Analysis Projects in Python and R

Machine learning practice

lexicons of Artificial neural networks

College Project of final year to implement Mutlilyar Perceptron code

Implementation of a simple Neural Network using Backpropagation.

Self Organizing Map

Sample implementation of common artificial neural network (ANN) models in Python

Autoencoder experiments in Keras

An artificial neural network predicting whether or not a customer will leave the bank or not based on certain independent factors using the Churn Modelling Dataset

Using Deep Q-Learning and Experience Replay, the AI agent(car) navigates the shortest path between two fixed points. Also, the agent will learn to drive on any demarcated road while still navigating between the two points. The model can be saved and loaded upon next use

AI Practical - 1 CNN

Project 1 for Udacity's Deep Learning Nanodegree. The goal of this project is to model neural network from scratch to predict bike usage throughout a year.

This project predict the customer who are going to churn from the Bank in the future using Artificial Neural Network.

The code repository for my rouse research project, addressing the question: "How effective are machine learning algorithms compared with traditional analytical techniques, with respect to playing abstract games?"

Manifesting the content image with features of style image