"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…