OCR technology to predict labels from handwritten text images.
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Updated
Oct 3, 2021 - Jupyter Notebook
OCR technology to predict labels from handwritten text images.
This project is about examining how the initialization of the biases impacts the learning behavior.
This is a repository with the assignments of IE678 Deep Learning course at University of Mannheim.
A collection of different kinds of neural networks classes.
Creating a feed forward neural network from scratch and testing it
長門櫻 Discord 機器人 Python 版本
Deep learning using pyTorch
Neural network implementation from scratch through a Keras-like API in Python
Design and train two different neural network models for image the inpainting task
Simple Feed-forward Neural Network library for C++
FeedForward Neural Networks Library ifrom scratch implemented using CUDA and vc++, With simple example application for MNIST dataset implementation with 97.82% Accuracy
This repository contains code and dataset used in the final project of the NLP course in Iran University of Science and Technology
Fully connected neural network for solving the mnist problem 784
Milwaukee Bucks Game Outcome Prediction using Tensorflow
Machine Learning tool for handwritten digit recognition powered by a custom dynamic feed forward neural network written completely from scratch in C++ and CUDA
Deep Learning on NLP in Pytorch using a Greek dataset with tweets regarding the elections .
A Web Chat bot to determine the prakriti of an individual.
A machine learning trigger bot for Quake3 Arena & Quake Live.
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