[Update April 15, 2019] This blog post covers the 2018 course which you can find here. (Copyright fast.ai) Most approaches teaching machine and deep learning can be cumbersome and time-consuming: Stepping through all the details of (basic) linear algebra, activation functions and slowly building a neural network, so that after a few weeks/months, you are able to build an image classifier, if you have actually powered through… Do not get me wrong, understanding the intuition and fundamentals of linear algebra and neural networks are an important and invaluable asset in achieving great results.
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