AAI-IST2016

Frontier Artificial Intelligence 2016

We provide an advanced programme ; starting from basics of MLP and neural network, designed to get
you learning core technologies of Deep Learning and the latest topics step by step.  Based on the policy of “Practice makes perfect”, we aim to get you acquire the technique through exercises. Based on the idea “Practice makes perfect”, we aim to let you acquire the technique through the exercise. In exercise, you can concentrate on the point of the lecture by using our specific development platform “ilect.net” : enables you to code in Python with GPU on a browser（the detail of ilect is here）.

• Date： Every　Tuesday fourth class（from 2：55 pm to 4：40 pm）
• Place：Faculty of Engineering Building 2, Second floor lecture room 223, The University of Tokyo
• Target：Graduate students of the University of Tokyo

application

Program syllabus

（The contents are being adjusted, may be changed.）

1. Introduction
   contents：About Deep Learning/ a history of AI technology, impacts on society／perspective of the lecture and precautions
   date：2016/ 4/19
2. Machine Learning 1
   contents：Machine Learning, k-NN, Logistic Regression／ Training, Testing
   date：2016/ 4/26
3. Machine Learning 2
   contents：Numpy,Scipy, Machine learning with Scikit-learn／Numpy Idioms／Advanced operations on matrixes, Slicing
   date：2016/ 5/10
4. Perception+Feed Forward Network, Gradient Descent
   contents：Basic Neural Network
   date：2016/ 5/17
5. Gradient Descent, Stochastic Gradient Descent, Optimizers
   contents：Basic Theano／Optimizers
   date：2016/ 5/24
6. Autoencoders
   contents：denoising Autoencoder, SdA
   date：2016/ 5/31
7. Convolutional Neural Networks(CNN)
   contents：Basic CNN
   date：2016/ 6/7
8. Convolutional Neural Networks(CNN) 2
   contents：Advanced CNN
   date：2016/ 6/14
9. Generative models
   contents：RBM,VAE, etc…
   date：2016/ 6/21
10. Recurrent Neural Networks(RNN)
    contents：Sequence data　handling
    date：2016/ 6/28
11. Deep Learning and Language Models
    contents：Word Embedding,LSTM,Language Models
    date：2016/ 7/5
12. Advanced Topics and summary
    contents：The application to robots, An advanced image processing network／DQN,AlphaGo, etc…
    date：2016/ 7/12 → 2016/ 7/19 （The date has changed.）