Adventures in deep learning

"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
    • prerequisites
    • content review
    • what I actually learned
    • why you might be interested
    • time spent
    • cost
  • document my practical experience and experiments

  • share interesting links, articles, news…

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