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https://github.com/eesunmoon/artificial_intelligence

[Fall 2021] Artificial Intelligence
https://github.com/eesunmoon/artificial_intelligence

ai artificial-intelligence artificial-neural-networks cnn deep-learning dl lstm neural-network neural-networks python reinforcement-learning rnn

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[Fall 2021] Artificial Intelligence

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# Artificial Intelligence
**[Fall 2021]**

## Overview

| # | Concept | Details |
|:---:|:-------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------:|
| 1 | **Mathematics for Machine Learning** | - **Linear Algebra**: Handling data
- **Probability and Statistics**: Prediction (classification/regression)
- **Information Theory**: Entropy |
| 2 | **Perceptron and Multilayer Neural Networks** | - **Perceptron**
- **Multilayer Perceptron (MLP)** |
| 3 | **Introduction to Deep Learning** | |
| 4 | **Optimization Techniques** | |
| 5 | **Convolutional Neural Networks (CNN)**| |
| 6 | **Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM)** | |
| 7 | **Reinforcement Learning** | - **Practical Exercise**: Cliff Walking
- **Sarsa**
- **Q-learning** |
| 8 | **Deep Reinforcement Learning** | - **Practical Exercise**: Cliff Walking
- **DQN (Deep Q-Learning)**
- **Deep Sarsa** |