Introducing neural networks to predict stock prices

Artificial neural network classes and tools in Python and TensorFlow.

Trying to use LSTM/GRU/CNN/MLP in keras to do quantized speech reconstruction using classification methods.

A deep learning model to classify the Arabic letters and digits easily.

S2Bstar - 쇼핑몰 상품 카테고리 분류 대회 (잠정 순위 3위 - 2019.01.07 기준)

Autonomous RC car using Raspberry Pi. Uses picamera data, OpenCV for processing, along with ultrasonic sensor data to drive autonomously.

Playing around with gradient descent and its limits.

A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

Implementation of multilayer perceptron in C++

Implementation of several deep learning algorithms, such as SVM, KNN, Logistic Regression, etc.

This is my deep learning repository where I applied some deep learning state-of-the-art techniques and architecture to the dataset.

Experimented with different architectures on MNIST dataset using MLPs with different dropouts.

Repository containing TensorFlow tutorial Notebooks

Movie ratings prediction

This repository contains the ipynb for image classification on the Fashion-MNIST dataset based on KNN and MLP.

This repository is used for store neural network code built by Tensorflow

Simple MultiLayerPerceptron with dummy multidimensionnal NDArray backend written in C#

Various methods for image classification of handwritten numbers

An implementation of multilayer perceptron(MLP) on function approximation.

PyNN - A Simple Neural Network Programming Framwork

It aims at classifying musics based on their genre.

Neural Network for Geometric Shapes Image Recognition on Matlab

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