Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.

Using MNSIT as a training dataset, this model is trained to predict the handwritten digits.

Simple DNN code, adapted from Nielsen

Backward pass of ReLU activation function for a neural network.

Twitter Sentiment Extraction using Custom Roberta Transformer Model and using Pre-trained model weights for prediction

This project creates a machine learning model that predicts the success of investing in a business venture.

Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer

Our custom AI Pipeline on image classification for 2019 Chung-ang-University-hackathon.

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

layers

Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API

Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.

rede neural totalmente conectada, utilizando mini-batch gradient descent e softmax para classificação no dataset MNIST

Gesture Recognition by CNN created using Networks Library created by me.

Text Generation

A classifier to differentiate between Cat and Non-Cat Images

Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.

Channelwise Partial Convolutions for hardware aware applications

The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.

Identifying text in images in different fonts using deep neural network techniques.