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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| About the Education category |
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1 | 496 | May 25, 2018 |
| Decision Trees In Python |
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0 | 147 | October 15, 2020 |
| Releasing full AGI/evolution research |
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1 | 683 | April 5, 2020 |
| Some ideas |
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0 | 240 | April 2, 2020 |
| Properly install packages? |
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1 | 2095 | February 24, 2020 |
| Having a specific problem, |
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0 | 311 | January 13, 2020 |
| CWAN script in Python finished |
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0 | 341 | December 9, 2019 |
| Where do I begin in Python? |
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0 | 326 | December 4, 2019 |
| Validation and verification |
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3 | 349 | August 1, 2019 |
| Processing One Line Input as multiple strings, |
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1 | 315 | June 16, 2019 |
| Has anyone tried Gabbler yet? [Ruby] |
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1 | 290 | June 9, 2019 |
| Documentation Deep Dive Workshop |
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2 | 375 | May 31, 2019 |
| Differences between Ruby and Python, |
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4 | 345 | May 4, 2019 |
| My best guess where to ask about ID3, |
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4 | 388 | April 27, 2019 |
| Tutorial 6: Amazon Mechanical Turk |
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2 | 787 | March 1, 2019 |
| Tutorial 1: Basic Neuroscience |
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2 | 826 | March 1, 2019 |
| Lesson 8: Robotics |
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8 | 1172 | March 1, 2019 |
| Lesson 5: Vision and Language |
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5 | 838 | March 1, 2019 |
| Tutorial 3: Machine Learning |
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4 | 1007 | March 1, 2019 |
| Lesson 9: Theory of Intelligence |
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4 | 1075 | March 1, 2019 |
| Tutorial 5: Church Programming |
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3 | 962 | March 1, 2019 |
| Lesson 6: Social Intelligence |
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5 | 821 | March 1, 2019 |
| Lesson 7: Audition and Speech |
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7 | 1174 | March 1, 2019 |
| Tutorial 4: Neural Decoding |
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2 | 989 | March 1, 2019 |
| Tutorial 2: MATLAB Programming |
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1 | 1232 | March 1, 2019 |
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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… |
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7 | 1318 | March 1, 2019 |
| Lesson 3: Development of Intelligence |
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7 | 1239 | January 7, 2019 |
| Lesson 4: Visual Intelligence |
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6 | 1109 | January 7, 2019 |
| Projects |
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5 | 534 | December 21, 2018 |
| Lesson 2: Modeling Human Cognition |
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4 | 1023 | December 21, 2018 |