AI Study

인공지능 기초 공부(AI Basic Study)

자세한 설명 ▶jaeyun's blog

Artificial Intelligence Study. Basic Theory and Code.

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인공지능 기본 지식(AI Basic Knowledge)

Basic Knowledge of AI such as "activation function", "loss function", "optimizer" and so on.
This deal with "why we use these?" as well as "kind of these".
More details [click here]

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인공지능 기초 이론1(AI Basic Theory1)

This is a summary of Artificial Intelligence class at University.

1. Artificial Intelligence
2. Intelligent Agents
3. Solving Problems by Searching(1)
4. Solving Problems by Searching(2)
5. Beyond Classical Search
6. Adversarial Search
7. Learning from Examples(1)
8. Learning from Examples(2)
9. Learning from Examples(3)
10. Learning from Examples(4)
11. Learning Probabilistic Models
12. Reinforcement Learning

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인공지능 기초 이론2(Deep Learning Basic Theory2)

참고도서: Deep Learning with Tensorflow

This is summary of Deep Learning Book "Deep Learning with TensorFlow".

1. Getting Started with Deep Learning
2. First Look at TensorFlow(1)
3. First Look at TensorFlow(2)
4. Using TensorFlow on a Feed-Forward Neural Network
5. TensorFlow on a Convolutional Neural Network
6. Optimizing tensorflow autoencoder
7. Recurrent Neural Networks

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머신러닝 기초 코드(Machine Learning with Python)

참고도서: Introductioln to Machine Learning with Python

This is summary of Deep Learning Book "Introductioln to Machine Learning with Python" and code.
More details [click here].

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텐서플로우(Tensorflow)

참고도서: 골빈해커의 3분 딥러닝 텐서플로우맛

This is summary of Deep Learning Book "골빈해커의 3분 딥러닝 텐서플로우맛" and tensorflow code.
More details [click here].

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파이토치(Pytorch)

참고도서: 펭귄브로의 3분 딥러닝 파이토치맛

This is summary of Deep Learning Book "펭귄브로의 3분 딥러닝 파이토치맛" and pytorch code.
More details [click here].