Adventures in deep learning
By Jan Van de Poel on Feb 6, 2018
"Artificial intelligence is the new electricity." (Andrew Ng)
"Deep learning is eating the world."
If those did not catch your breath, they sure did mine.
While I have always had an interest in artificial antelligence and neural networks - having taken some classes at university in 2007, it sure has been a while since I have done anything remotely real with it. Even more so, it sure looks like machine learning has come a very long way since then as well. :)
It must have been the end of 2016 (yes, that long ago), I first enrolled in the Coursera machine learning course from Andrew Ng. I did not really take it to heart - I was really busy doing consulting those days, switching sessions to later dates time and time again. It was only in the summer of 2017 I decided actually to complete it. After that, I was hooked, and started my quest to find more resources to get up to speed in deep learning.
Come the new year (2018), resolutions were made:
1. Spend more time with my love.
2. Loose weight.
3. Excercise more.
4. Blog about what I am doing.
5. Read more books.
This blog is me making good on number four and five of those resolutions. (fyi, I am doing my best for the other ones as well.)
Meanwhile, I have been spending quite some time getting up to speed (probably will need some more time) and this is the place where I will document my adventures in deep learning. Review/comment/discuss courses, books, articles, interesting things related to deep learning… Whatever deep learning material I can get my hands on…
After some initial research, I was overwhelmed by the vast amount of resources to get you started, paid/free online courses, books, blog posts… Deep learning is definitely already taking over the publishing world.
It took me a while to figure out where to start and what to read, and even then I felt I should have done things in a different order.
What’s in it for you?
If you want to learn more about deep learning and get an overview of what is out there. This place is for you.
I will provide regular updates and reviews of courses, books, articles, papers… while I am mastering the subject myself.
Here is a short overview of content I will provide:
review courses I will take:
- what I expected to learn
- content review
- what I actually learned
- why you might be interested
- time spent
document my practical experience and experiments
share interesting links, articles, news…