sushirain

The bot can gather this restaurant specific information over several conversations with the restaurant. This wasn't possible before. This domain isn't too wide.

You can use a character RNN that reads the fragmented input char by char, and feed its output to your NN.

Is it possible to create an adversarial example without access to the weights of a model, and without being able to forward many images through it?

Can autonomous vehicles work without deep reinforcement learning? I thought that things like negotiating entry into a crossroad required DRL.

Thanks. I found that when they transitioned to Hardware2/AP2 they cut out most autopilot functionality, and since then have been gradually releasing updates that bring back that functionality.

I couldn't find a reference to this:"Tesla no longer sells cars with automatic driving capability." Can you point to one?

Very interesting. I wonder if they tried to predict part-of-speech tags.

The article says 5 years old, so it's probably not deep learning.

Would Apple?

My summary of the slides: to achieve "common sense", Unsupervised Learning is the the next step. Use all information in the data for predicting everything you can including the past. Use adversarial networks to do that.

If you don't have financial obligations, you could quit. Otherwise, maybe it's better to join an open source project on the side for a year. It takes years to go from noob to proficiency in coding, machine learning, cryptography. Some software positions are very selective.

Deep learning is already being monetized, e.g., at Google.