10 steps on the road to Deep Learning (part 1)

Julien Simon
Jan 12, 2018 · 5 min read
I’m just a Hobbit but I’ll have you, gradient descent!

1— You can do it

2- Ignore Math (for now)

model.train(data, labels, loss_function, optimizer)

3 — Ride the snake

4 — Walk before you run

5 — Pick a library (and don’t look back)

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Julien Simon

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Hacker. Headbanger. Harley rider. Hunter. https://aws.amazon.com/evangelists/julien-simon/

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