Lessons from a Deep Learning Master

Photo by Valentin B. Kremer on Unsplash

Yoshua Bengio is a Deep Learning legend and won the Turing Award in 2018, along with Geoff Hinton and Yann LeCun.

In this short post, I want to highlight for you some clever things that Yoshua and his collaborators did to win a Machine Learning competition from a field of 381 competing teams. Perhaps these ideas will be useful in your own work.

In a world where powerful Deep Learning frameworks (e.g., TensorFlow, PyTorch) are a free download away, their competition-winning approach demonstrates nicely that your edge may come from how well you model the specifics of your problem.

Read the rest of the post on Medium.

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