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.
Deep learning using pyTorch
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
This mini-project utilizes a Feedforward Neural Network to accurately identify digits from a dataset comprising tens of thousands of handwritten images, demonstrating the model's capability in pattern recognition.
Deep Learning on NLP in Pytorch using a Greek dataset with tweets regarding the elections .
Implement GAN (Generative Adversarial Network) on MNIST dataset. Vary the hyperparameters and analyze the corresponding results.
Estudo comparativo de técnicas de machine learning para previsão de valores de ações.
Fixed-volume neighborhood classifier with binary feedback
長門櫻 Discord 機器人 Python 版本
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
Milwaukee Bucks Game Outcome Prediction using Tensorflow
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