Google DevFest Accra 2018 Was Lit!!!

This past weekend (Saturday, 24th November to be precise) I was honored with the opportunity to be a speaker at Google DevFest Accra, a technology conference organized by the Google Developer Group (GDG) Accra.

#ML and #Tensorflow breakout session at #DevFestAccra #Devfest18 @Olaiw0la @aniediudo pic.twitter.com/HXK7Pa1Vhc

— Kafui (@kafuiday) November 24, 2018

Time for Tensorflow..... #DevFestAccra #DevFest18 #atAshesi Photo credits; @wayne_gakuo pic.twitter.com/zKdb7xxXop

— Ndze'dzenyuy Lemfon K.V. (@wybeturing) November 24, 2018

I spoke about AI, and narrowed down to TensorFlow; Google’s machine learning framework, beginning with a from-scratch explanation of the “whats”, “whys” and “when” of AI, ML and Deep Learning, our favorite buzzwords. Safe to say, it was an exciting talk, and I thoroughly enjoyed myself. I saw this particular tweet at the end of the program, and it cracked me up:

Listening to Kwadwo even though I'm lost. He makes AI, Machine learning etc sound so easy. #DevFestAccra @moicuddlez @PrissyGaps @nkansahrexford @LisaOAgyei @Bigsam233 @NanaEBP @Miss_vro @boakye_janet @ttousai @john_otu @KayO_GH @kafuiday @oskygh @mikeattara #DevFest18 #GDGAccra pic.twitter.com/RFFeBbqK6X

— Nadia Owusu 🇬🇭 (@staa_boss) November 24, 2018

But don’t worry, she wasn’t lost for long… I hope.

Anyway, I promised to release my slides today, and also to share some recommendations for getting started with AI & ML on your own. You can skip straight to the slides here, but I’d rather you read the next section first.

Tony’s Uizard (It’s a Pun)

Somewhere in the slides, there’s a video of AI creating a responsive ReactJS web page just by viewing wireframe diagrams drawn by hand. This is the product of research done by Tony Beltramelli of Uizard Technologies. I got some advice from Tony on resources to use to dive deep into AI & ML, and below is a list of recommended resources. Please take his advice over mine… he definitely knows more than me in this area:

1. The completely free and highly acclaimed Fast.AI course:
2. The Distill publication; A really good interactive blog explaining specific algorithms in deep learning.
3. Udacity has a course on deep learning, highly recommend it. I am not a big fan of the coding parts but the video series is really great.
4. To go really in depth, the recent and freely accessible Deep Learning book, written by some of the field’s pioneers.
5. Some really great blogs with a specific focus:
   • Andrej Karpathy’s Blog
   • Chris Olah’s blog
6. The free course from Oxford.
7. The free courses from Stanford:
   • http://deeplearning.stanford.edu/tutorial/
   • http://cs231n.stanford.edu/
   • http://cs224d.stanford.edu/

* I’ll add two more from Coursera which have helped me personally:

• Andrew Ng’s Deep Learning Specialization
• Laurence Moroney’s Tensorflow Developer Specialization

I guess my work here is done. You may now go to the slides. Don’t worry, they are not boring, lol: Click Me!

KayO

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Originally posted here.