linkCompiling Links for demo

linkLink to MSA Github

MSA Github

linkLink to Azure

From this portal we can access each component of the demo, from setting up a resource, creating your workspace and setting up a compute. Once this is done we can go ahead and start coding!

Azure Portal

linkSet up your local env

https://docs.microsoft.com/en-gb/azure/machine-learning/how-to-configure-environment#jupyter https://docs.anaconda.com/anaconda/install/

linkCreating first ML Experiment guide

https://docs.microsoft.com/en-gb/azure/machine-learning/tutorial-1st-experiment-sdk-setup

linkGithub link to tutorial resource (if setting up local env)

https://github.com/Azure/MachineLearningNotebooks

linkFurther information from Microsoft on the MNIST dataset

https://azure.microsoft.com/en-au/services/open-datasets/catalog/mnist/#AzureNotebooks

linkYann Lecunn and co official MNIST database

http://yann.lecun.com/exdb/mnist/

linkLink to MNIST Dataset on github

Note: You are best off cloning the entire repo but linking here if incase https://github.com/Azure/MachineLearningNotebooks/tree/master/tutorials/image-classification-mnist-data

linkExtra project on MNIST

https://towardsdatascience.com/image-classification-in-10-minutes-with-mnist-dataset-54c35b77a38d https://towardsdatascience.com/convolution-neural-networks-a-beginners-guide-implementing-a-mnist-hand-written-digit-8aa60330d022 https://towardsdatascience.com/mnist-handwritten-digits-classification-using-a-convolutional-neural-network-cnn-af5fafbc35e9

linkKeras documentation

https://keras.io/

linkTensorflow documentation

https://www.tensorflow.org/tutorials

linkYoutube Tutorials

Introduction to AzureML Studio https://www.youtube.com/playlist?list=PL8eNk_zTBST_WSR_KUBex8TDnQ21GetSG

Classifying handwritten digits using tensorflow https://www.youtube.com/watch?v=ljDYxK4D4os&t=0s

Deep learning deep dive :wink: https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU