Introduction of this course: pdf,pptx (2017/02/23)
Regression: pdf,pptx,video (2017/03/02)
Where does the error come from?: pdf,pptx,video (2017/03/02, recorded at 2016/10/07)
Gradient Descent: pdf,pptx,video (2017/03/09, recorded at 2016/10/07)
Classification: Probabilistic Generative Model
pdf,
pptx,
video (2017/03/16, recorded at 2016/10/07)
Classification: Logistic Regression
pdf,
pptx,
video
(2017/03/23, part of the video recorded at 2016/10/14)
Introduction of Deep Learning
pdf,
pptx,
video
(2017/03/23, recorded at 2016/10/14)
Backpropagation
pdf,
pptx,
video
(2017/03/23)
“Hello world” of Deep Learning
pdf,
pptx,
video
(2017/03/23)
Tips for Deep Learning
pdf,
pptx,
video
(2017/03/30)
Convolutional Neural Network
pdf,
pptx,
video
(2017/04/06)
Why Deep?
pdf,
pptx,
video
(2017/04/06, recorded at 2016/11/04)
Semi-supervised Learning
pdf,
pptx,
video
(2017/04/13, recorded at 2016/11/11)
Unsupervised Learning: Principle Component Analysis
pdf,
pptx,
video
(2017/04/13, recorded at 2016/11/11)
Unsupervised Learning: Neighbor Embedding
pdf,
pptx,
video
(2017/04/20)
Unsupervised Learning: Deep Auto-encoder
pdf,
pptx,
video
(2017/04/20)
Unsupervised Learning: Word Embedding
pdf,
pptx,
video
(2017/04/27)
Unsupervised Learning: Deep Generative Model
pdf,
pptx,
video
(2017/04/27)
Transfer Learning
pdf,
pptx,
video
(2017/05/03)
Recurrent Neural Network
pdf,
pptx,
video (part 1),
video (part 2)
(recorded at 2016/12/30)
Matrix Factorization
pdf,
pptx,
video
(2017/05/25)
Ensemble
pdf,
pptx,
video
(2017/05/25)
Introduction of Structured Learning
pdf,
pptx,
video (part 1),
video (part 1)
(2017/06/01)
Introduction of Reinforcement Learning
pdf,
pptx,
video
(2017/06/15)