This project forked from stas-pavlov/at236x-deep-learning-explained
Workbooks for https://edX.org at236x course
Home Page: https://courses.edx.org/courses/course-v1:Microsoft+DAT236x+2T2017/info
*.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
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An Open Source Machine Learning Framework for Everyone
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