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

Neural Networks in C++17

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

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.

CNN trained on the MNIST dataset

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

Модуль 8. Глибоке навчання. Tensorflow.

ML-workshop

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

自编码

We will develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features. Thus, this is a 10-class classification problem.