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Fall20/NeuralNetworks1/README.md

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# 1. Introduction to AI and Neural Networks
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Welcome to the repo for ACM AI's first workshop on AI and Neural Networks, hosted in fall 2020
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Welcome to the repo for ACM AI's first workshop on AI and Neural Networks, hosted in fall 2020. Slides are here:
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https://docs.google.com/presentation/d/1a9TwuZkqAwEvo1eCFcL-Hub1OiJNxzidvtBaL3OwLWQ/edit?usp=sharing
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Here's a quick run down of what was in the workshop!
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1. What is AI?
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2. Stats and history of AI
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3. What is AI all about? Is it just Neural Networks? (answer is no)
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4. Applications
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5. What is a Neural Network?
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5. What is a Neural Network?
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6. What is a Neuron? Biologically and Computationally?
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7. Weights and Biases of a Network
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8. Activation Functions
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11. Resources
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In this folder there is also code for various work we demoed in the workshop. We use the `numpy` package to do our demos. To download it, do
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```
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pip install numpy
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```
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```

README.md

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This is the repository with all workshop content code etc. for ACM AI, with content organized by quarter offered
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Check out https://ai.acmucsd.com for more details about upcoming workshops and the exciting stuff going on at ACM AI!
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Check out https://ai.acmucsd.com for more details about upcoming workshops and the exciting stuff going on at ACM AI!

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