Introduction to Artificial Intelligence
in Notes / Artificialintelligence / Introductiontoai
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
- Supervised Learning (Data + Labels), DEEPLEARNING
- Unsupervised Learning (Data ONLY)
- like training a baby
- ex) Recommendation System
- Reinforcement Learning
CNN vs RNN
- two major deep learning models
Concolutional Neural Network ( CNN ) | Recurrent Neural Network ( RNN ) |
---|---|
Visual Information Learning | Time-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