minst

Examples of Tensorflow Lite on Android

Pytorch Framework learning for deeplearning

Deeplearning for Java.Build multi-layer perceptron neural network with JAVA.Identify the MNIST handwritten digital datasets.The accuracy rate is around 80%

Creating models for MINST database: NN and CNN

miniflow is a deep learning framework built from scratch using Python and NumPy, mimicking the TensorFlow API format.

Neural Networks in C++17

cifar 10 dataset and minist dataset

基于 Keras@TensorFlow 2 的卷积神经网络 MINST 手写数字识别

中国科学院大学深度学习实验一：手写数字识别

I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.

Generate handwritten digit images using DCGAN trained on the MNIST dataset.

A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.

A collection of deep learning projects focused on computer vision, including age and gender prediction, face detection, digit recognition, sign language detection, and skin disease classification.

NanoNet – Neural Network From Scratch (NumPy Only)

手搭三层神经网络对minst数据集进行分类

CNN trained on the MNIST dataset

This code is an implementation of the Wasserstein GAN (WGAN) algorithm for generating handwritten digits. The WGAN algorithm was introduced as a way to address the problem of training instability in the original GAN algorithm.

正在学习中，要加油！

Training an Auto encoder on mnist digits to exclude non-mnist digits form the database

MNIST data recognition web example