Discover and read the best of Twitter Threads about #100DaysOfMLCode

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If you're a student of #AI and want to become a force for #good, learn:

- AI #fairness
- AI #privacy
- AI #security
- AI #verification
- AI #adversarial defenses

IMO - most folks still don't know how these fields work

Be the change

(#tutorials in replies 👇)

#100DaysOfMLCode
Read 4 tweets
Confession...

... I think I'm online educated in Deep Learning...

- Arxiv/Blogs for new stuff - ONLY option!
- Books/MOOCs/Youtube for old stuff (3+ yrs) - BEST option IMO!
- Twitter for ML debates

...guess I'm unqualified 😉

#100DaysOfMLCode
Being a PhD student doesn't automatically grant you access to *magical* learning resources in Deep Learning - all the best ones are freely available online. I hardly know of a single university which teaches state-of-the-art Deep Learning and hasn't uploaded videos online.
The main benefit of a PhD program is the *time* to spend pouring yourselves into them and *people* you can chat with - but getting hired in my first ML job had a very similar effect - which I got primarily because of projects I did *outside* the classroom.
Read 8 tweets
Day 12: #100DaysofCode
Built a handwritten digit recognition algorithm using neural networks. Trained it. Tested it. Understanding the concepts - a thread.
colab.research.google.com/drive/1-neDSoL…
#100DaysOfMLCode @myorwah @esemejeomole
A neural network consists of a input layer, hidden layer (middle layer) and the output layer. The input layer takes in the input (images, files, audio, video etc), passes it to the hidden layer where come processing/learning is done and passed to the output layer for results.
Take a moment to think about this: let's assume you are in a group of 3 friends and you want to tell your 3rd friend you love her. You are the first friend, your second friend, Jay is the middleman or the channel of communication between you and your 3rd friend, Lola.
Read 20 tweets

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