The first principle is that you must not fool yourself — and you are the easiest person to fool.
The obvious question expected to get answered when you visit any About page is “Who Are You?”
But that’s not what this page is about.
What happens when you ask someone, “What is the best way to learn deep learning?” You will most likely be bombared with tons of courses online. What the question meant was, “Where to start?”
IMO the best way to learn data science is not through earning a degree(nothing wrong with that). I mean weigh all the pros you can get through MOOCs, that is to learn from so many different courses from so many awesome professors around the world not bound to specific university. It’s like we can go to MIT for one course, Stanford or Harvard for another, CMU or Cornell or land in USF next day for another. I mean how cool is that! And the best thing is all that is free of cost, no traveling, no accommodation, now what can you ask more for?(Ask Geoffrey Hinton to teach every course covering every topic 😛)
Okay enough talk, I tried to declutter various sources and arrange it in such a way that anyone can start learning about DL if put in enough efforts and complete every course + assignments religiously. But before that, remember what Richard Feynman said about knowing the name of something and understanding it.
See that bird? It’s a brown-throated thrush, but in Germany it’s called a halzenfugel, and in Chinese they call it a chung ling and even if you know all those names for it, you still know nothing about the bird. You only know something about people; what they call the bird. Now that thrush sings, and teaches its young to fly, and flies so many miles away during the summer across the country, and nobody knows how it finds its way.
Knowing the name of something doesn’t mean you understand it. The first and foremost is to understand the difference between DL, ML and AI.
Here I present to you the list of courses that I would recommend with increasing level of difficulty. I will keep updating the table with latest courses as they come.
Do you want to learn DL all day? Here are some of my favourite “Unwinding Tracks” which you can switch to avoid information overload 🤯.
And what about any recommendation for books📚 ?