AI Portfolio
  • Page Overview
  • Linear Regression
    • Basic Information
    • Simple Example using Python
    • Boston house price Dataset
  • CNN
    • Basic Information
    • Neural Network Implementation
    • Creating CNN Layer
    • CNN MNIST Classification
  • Autoencoder
    • Basic Information
    • AutoEncoder fashion MNIST
  • RNN
    • Basic Information
    • Creating Simple RNN
    • Sentimental Classification
  • Sequence-to-Sequence
    • Basic Information
    • Eng-Fra Translator
    • Attention Decoder
    • Kor-Eng Translator
  • GAN
    • Basic Information
    • MNIST Generation
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On this page
  • 1. AI_Tutorial
  • 2. AI_Papers (Next Things To Do)
  • NLP(Natural Language Processing)

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Page Overview

This gitbook page is written by jaehong21(https://github.com/jaehong21)

1. AI_Tutorial

  1. Linear Regression > Boston House Price Dataset

  2. CNN > MNIST Classification

  3. AutoEncoder > fashion MNIST

  4. RNN > Sentimental Classification

  5. Sequence-to-Sequence > Eng-Fra Translator > Attention Decoder

  6. GAN

2. AI_Papers (Next Things To Do)

"How to Select and Read AI Papers" guideline

NLP: https://github.com/andrewt3000/DL4NLP Computer Vision: https://github.com/kjw0612/awesome-deep-vision

NLP(Natural Language Processing)

NextBasic Information

Last updated 3 years ago

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