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

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

The Pytorch Implementation of L-Softmax

Projects Related to Deep Learning Nanodegree

Simple MATLAB toolbox for deep learning network: Version 1.0.3

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

This is a pytorch implementation of the am_softmax, this softmax layer includes the class assignment fully connected layer, as it is required for it to be normalized.

Plots how the logit values that are passed into the softmax function change over time as the model is trained.

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

Files are part of my coursework from the course DSCI 6671 Deep Learning

This project implements a handwritten digit detector using neural networks.

The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and fe…

Use of word embeddings to classify sentiments of sentences and automatically attach emojis

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo

Classifying the Blur and Clear Images