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2min chapter
François Chollet: Keras, Deep Learning, and the Progress of AI
Lex Fridman Podcast
How to Solve the Turing Test
In general, there is no hard limitations to what you can learn with a deep neural network. As long as the search space is rich enough, is flexible enough, and as long as you have this dense sampling of the input cross output space,. The problem is that this dense sampling could mean anything from 10,000 examples to like trillion centrelin. And if you could just give it a chance and think, what kind of problems can be solved by getting a huge amounts of data and thereby creating a dense mapping? So let's think about natural language dialogue, the Turing test. Do you think the Turing test can be solved with a neural network alone? Well, the Turingtest is all
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