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%

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

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

cifar 10 dataset and minist dataset

Creating models for MINST database: NN and CNN

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

手搭三层神经网络对minst数据集进行分类

Neural Networks in C++17

正在学习中，要加油！

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.

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

MNIST data recognition web example

Модуль 8. Глибоке навчання. Tensorflow.

ML-workshop

An Artificial Neural Network for image classification (hand written numbers from MINST dataset).

自编码