AIDL Weekly Issue #17 - Andrew Ng's First Interview After Baidu, and More


The Organic Growth of AI - Thoughts From Your Humble Curators

The Last two months have been very eventful - GTC, F8 and Google I/O. We have AlphaGo vs the best human player. This week is a bit slower. We see Apple come up with the Core ML - this is Apple playing catch up to Google but could very well be very impactful long-term given Apple's culture of tight integration and iOS market size and position.

Some multi-threaded happenings this past week:

  • On celebrity in the field: We saw the first interview of Prof. Andrew Ng after he left Baidu, giving yet another interesting and inspiring interview with Forbes
  • On infrastructure: There is Kaggle hitting 1 million developers, and Coursera is getting its series D. Both are training grounds of budding machine learning researchers/engineers.
  • On new techniques: Facebook is able to train a Resnet-50 in one hour (Wow!) DeepMind also comes up with a technique in relationship modeling which improves around absolute ~30% accuracy. The common thread of both research is that the techniques themselves are surprisingly simple.
  • On our AIDL Facebook group: We have seen record sign ups in recent weeks. Just last week, we added ~1800 members, and it's continuing apace. We should be hitting 30K members in the not too distant future.

As always, if you like our newsletter, subscribe and forward it to your colleagues/friends!

An announcement here - one of us (Arthur) is having a vacation, so no press for AIDL Weekly next Friday, we will resume Issue #18 at Jun 23.

Artificial Intelligence and Deep Learning Weekly


Blog Posts


Member's Question

Udacity DL class vs Hinton's ?

AIDL Member Fru Nck asked (rephrase): Can you tell me more about the Hinton's Coursera class vs the Google's Udacity class on deep learning?

Here are couple of great answers from other members:

By Karan Desai: "Former focuses more on theory while latter gets you through Tensorflow implementations better, keeping the concepts a little superficial. In my opinion both courses were made to serve different purposes so there isn't a direct comparison. Meanwhile you can refer to Arthur's blog."

By Aras Dar: "I took them both. For the beginners, I highly recommend Udacity and after Udacity, you understand Hinton's course much better. Hinton's course is more advanced and Udacity course is built for beginners. Hope this helps!"

Afterthought from me: I didn't quite take the Udacity class. But by reputation, it is more a practical class with many examples. If you only take Ng's, Hinton class is going to confuse you. In fact it confuses many PhDs I know. So go for the Udacity class and few others first before you dive into Hinton's.

Artificial Intelligence and Deep Learning Weekly


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