Simple implementation of MLP neural network in NumPy with supporting examples
Plain python implementations of basic machine learning algorithms
building a machine learning model to classify handwritten digits using the MNIST dataset.
to identify hand-written alphabets using deep neural network
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/151...
Improved implementation of Tariq Rashid's "Make Your Own Neural Network"
Recognize the handwritten digits online with FCNet which is powered by MNIST dataset 😄
Just a MNIST dataset in different formats
U-Net: Convolutional Networks for Biomedical Image Segmentation
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
George Dahl's gdbn: Pre-trained deep neural networks
Evolutionary Strategies for Training Neural Networks
Handwritten Digit Recognition using Machine Learning and Deep Learning
Easily set up a multi-layer neural network (MLP) to train on your excel dataset.
Simple MNIST data parser written in Python