stas-pavlov / at236x-deep-learning-explained

Workbooks for https://edX.org at236x course

Homeworks and other stuff for AT236x Deep Learning Explained from edX

*.py files preared to use with Visual Studio Code with Jupyter and Python extentions installed

load-MNIST.py -- download MNIST data and convert to CNTK ready formats (CTF) at data/MNIST/

logistic-regression.py -- use CNTK to train and validate model on the prepared MNIST data

multi-layer-perceptron.py -- use CNTK to train and validated model for multi layer perceptron on MNIST data and evalute 28x28 MysteryNumberD.bmp image