Introduction to "Intelligence and Learning"

From the creator

This video begins a new series accompanying my ITP spring 2017 course "Intelligence and Learning". The syllabus to this class can be found here: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning Support this channel on Patreon: https://patreon.com/codingtrain To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/ Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: Twitter: https://twitter.com/shiffman The Coding Train website: http://thecodingtrain.com/ Links discussed in this video: The Nature of Code Part 2 (Spring 2017) - Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning Nature of Code: http://natureofcode.com/ Creative Applications of Deep Learning with TensorFlow on Kadenze: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info Andrew Glassner on Twitter: https://twitter.com/AndrewGlassner Books and Papers: Artificial Intelligence: A Modern Approach: http://aima.cs.berkeley.edu/ Make Your Own Neural Network: https://www.amazon.com/Make-Your-Own-Neural-Network/dp/1530826608/ref=sr_1_1?ie=UTF8&qid=1490467600&sr=8-1&keywords=Make+Your+Own+Neural+Network Grokking Algorithms book: https://www.manning.com/books/grokking-algorithms Grokking Deep Learning: https://www.amazon.com/Grokking-Deep-Learning-Andrew-Trask/dp/1617293709/ref=as_li_ss_tl?ie=UTF8&linkCode=sl1&tag=natureofcode-20&linkId=5f6a237d0dd9051865f5e8

Published 2017-03-28 · Watch on YouTube ↗
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