Introduction to Artificial Intelligence

Day 1

Introduction

  • Artificial Intelligence usually refers to Deep Learning these days
  • Geoffrey E Hinton, Yoshua Bengio, Yann LeCun -> Fathers of AI Deep Learning

Machine Learning

  1. Supervised Learning (Data + Labels), DEEPLEARNING
  2. Unsupervised Learning (Data ONLY)
    • like training a baby
    • ex) Recommendation System
  3. Reinforcement Learning

CNN vs RNN

  • two major deep learning models
Concolutional Neural Network ( CNN )Recurrent Neural Network ( RNN )
Visual Information LearningTime-Series Information Learning
Layers (Input, Concolutional, Pooling, Fully Connected, Output)several neural network architecture connected by time

Deep Learning Types

  • VISION
    • Object Recognition
    • Style Transfer
    • Deblurring and Denoising
    • Super-Resolution (enhancing)
  • SPEECH AND LANGUAGE
    • Speech Recognition
    • Machine Translation
    • Information Retrieval
  • GAN : (Generative Adversarial Network)
    • traning both of generator and discriminator, and then generates samples which are similar to the original samples
    • Performance Improvements via Competition