Education


Course: Neural Networks and Deep Learning Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform. By contrast, in a neural network, we don't tell the computer how to solve our problem. Instead, it learns from observational data, figuring out its own solution to the problem at hand. Python Study Club Share educational Python material with others and work together on assignments. Course: Brains, Minds & Machines This course introduces you to the scientific study of intelligence in brains and machines. Through lectures by leading researchers in the field, you learn about the theoretical foundations and computational methods used in intelligence research; empirical methods used in neuroscience and cognitive science to probe the function of neural circuits and emergent behaviour; the kinds of questions that can be addressed with computational and empirical methods and how the integration of multiple perspectives can accelerate the pace of intelligence research.
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Having a specific problem, 1 January 13, 2020
CWAN script in Python finished 1 December 9, 2019
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Validation and verification 4 August 1, 2019
Processing One Line Input as multiple strings, 2 June 16, 2019
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Documentation Deep Dive Workshop 3 May 31, 2019
Differences between Ruby and Python, 5 May 4, 2019
My best guess where to ask about ID3, 5 April 27, 2019
Tutorial 6: Amazon Mechanical Turk 3 March 1, 2019
Tutorial 1: Basic Neuroscience 3 March 1, 2019
Lesson 8: Robotics 9 March 1, 2019
Lesson 5: Vision and Language 6 March 1, 2019
Tutorial 3: Machine Learning 5 March 1, 2019
Lesson 9: Theory of Intelligence 5 March 1, 2019
Tutorial 5: Church Programming 4 March 1, 2019
Lesson 6: Social Intelligence 6 March 1, 2019
Lesson 7: Audition and Speech 8 March 1, 2019
Tutorial 4: Neural Decoding 3 March 1, 2019
Tutorial 2: MATLAB Programming 2 March 1, 2019
Syllabus: Brains, Minds & Machines

This course explores the problem of intelligence—its nature, how it is produced by the brain and how it could be replicated in machines—using an approach that integrates cognitive science, which studies the mind; neurosc…

8 March 1, 2019
Lesson 3: Development of Intelligence 8 January 7, 2019
Lesson 4: Visual Intelligence 7 January 7, 2019
Projects 6 December 21, 2018
Lesson 2: Modeling Human Cognition 5 December 21, 2018
The Presentation Slides of Dr. Ben Goertzel's Keynote Speech at the DevOps 2018 Event 4 December 19, 2018