Predicting if a patient is diabetic or not by training a classification model using both Logistic regression and Artificial neural networks

Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.

Simple DNN code, adapted from Nielsen

Various applications of deep learning have been demonstrated.

This is a template I made while building a Deep Learning project.

Used ANN to predict whether user will keep the subscription or not.

Predict the case of Telco Customer Churn data set as a measure of the percentage of customer accounts that cancel by choosing not to renew their subscription (No) and continue to renew their service (YES). Measured based on actual usage or failure when getting telco service. Based on this, I will analyze churn using the Deep Learning ANN method.

Simple densely connected neural network with sigmoid activation.

Neural Networks and Deep Learning Models

This repository contains a basic implementation of a feed forward neural network using TensorFlow and Keras to predict the onset of diabetes in Pima Indian women based on certain diagnostic measures. The dataset used for training and evaluation is the Pima Indians Diabetes Database, which is publicly available and widely used for machine learning

Predict airline passenger amount with deep learning neural networks by using the Keras framework and Box & Jenkins Airline Passengers Dataset.

How Neural Networks work inside

Used a Multilayer Perceptron (MLP) neural network to detect COVID-19 in lung scans.

A simple neural network that defines functions for initializing a neural network, forward and backward propagation, and training. It uses a simple neural network architecture with sigmoid activation and binary cross-entropy loss for binary classification. The goal is to train the network to make accurate predictions for binary classification tasks.

Create manually a Neural Network model to predict unicode chars

A TensorFlow C++ extension implementing a piecewise-linear approximation of sigmoid activation function used in Beatmup.

Deep Learning with python

Simple neural network

A simple program in python to illustrate the workings of a neural network

Image Classification, one of the techniques belonging to object recognition can be used in analysing objects appearing in an image.