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stas-pavlov/at236x-deep-learning-explained

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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