If you are trying to learn about Deep Learning today, there are tons of online courses, books and material for that. Then, something like this appears in the very first lesson:

Image for post

Part of the backpropagation equations

Deep Learning is at it’s heart a data-analysis technique, thus the underlying concepts are definitely math-intensive. However, these complicated equations and formulas are really stressful to look at if we are just trying to learn something new! (Especially if we do not have PhDs in Math or Computer science. Or the last time we did integration was 10 years ago in school.)

This post will be the first part in a series where I introduce basic concepts of Deep Learning (DL), based on the fast.ai course. Fast.ai teaches DL using the top-down approach: which means showing students what they can do and providing hands-on experience from the start, then moving on to explain the underlying concepts. This is largely different from typical online courses we see, where knowledge is built ground-up, starting from the underlying concepts.

#deep-learning #machine-learning #fastai #vision

How to Train Your First Deep Learning Model
1.10 GEEK