DL SEMINARS

Lectures

• New York University, Deep Learning
• Oxford University, Deep Learning
• Stanford University, Convolutional Neural Networks for Visual Recognition
• Stanford University, Deep Learning for NLP
• Université de Sherbrooke, Neural networks

Reading List

• DEEPLEARNING.UNIVERSITY

Toolkits

• Chainer
• Keras
• scikit-neuralnetwork
• Pylearn2
• Torch7
• Caffe
• CNN
• Deep Learning Tutorials
• Hinton's Deep Autoencoder

Dataset

• Labeled Faces in the Wild
• YouTube Faces DB
• SEMAINE
• 300 Faces in the wild
• 3D Facial Expression DB
• DISFA: Denver Intensity of Spontaneous Facial Actions

Benchmarks

• 画像�J�Rベンチマ�`ク

Materials

• Learning Deep Architectures for AI
• Ng's Lecture Note: Sparse Autoencoder
• Why Does Unsupervised Pre-training Help Deep Learning?
• Unsupervised Feature Learning and Deep Learning Tutorial
• A Practical Guide to Training
  Restricted Boltzmann Machines
• ディ�`プラ�`ニング チュ�`トリアル
• Theano Tutorial

Links

• deeplearning.net

Conferences

• ICML
• NIPS
• ICLR
• 全�ア�`キテクチャ勉��会
• 人工知能学会全国大会オ�`ガナイズセッション「Deep Learning」

Labs

• LISA LAB, モントリオ�`ル大学
• Machine Learning Group, トロント大学
• Jeffrey Dean, Google
• Yann LeCun, ニュ�`ヨ�`ク大学

http://deeplearning.jp