1. 龙星计划课程-深度学习
天津大学
7月2日-7月5日

2. Lecturer
Li Deng
Microsoft Research Redmond

3. What is Deep Learning?
A class of machine learning techniques that exploit many layers of non-linear information processing for supervised or unsupervised feature extraction and transformation, and for pattern analysis and classification.

4. History of Deep Learning
Hinton, G. E. and Salakhutdinov, R. R  Reducing the dimensionality of data with neural networks. Science, Vol no. 5786, pp , 28 July 2006.

7. Unsupervised feature learning

8. Motivated by Neuroscience

9. What Types of Problems Fit (not fit) Deep Learning

10. Models DBN (Deep belief network) BM(Boltzmann machine)
RBM(Restricted Boltzmann machine)
DNN(Deep neural network)
Deep auto-encoder

11. Thank you!