Deep learning refers to these bigger models with like mini layers and thus many more, much more like complexity. A neuron is more less like a function and more like a, it is more like just like a number. And so if you're trying to predict the price of a house or how many square feet they have using one feature, that's just one that's using one feature. That's as simple as you can get, and it just kind of scales up in complexity.
Topics:
(5:29) - Max’s background and career
(14:15) - Is it reasonable to use Neural Net, Deep Learning and Machine learning interchangeably?
(26:37) - The Future of AI
(39:18) - Google & AI Writing
(49:42) - Hiring AI for help in our personal lives
(55:02) - How Improvements in Robotics will massively push things forward
(57:12) - Computers being able to smell and taste
(1:04:56) - Scarier futures of AI
(1:08:13) - Is there a new field of opportunities you’re paying attention to now in Computer Vision?