21 hours (usually 3 days including breaks)
Describing the Structure of Unlabled Data
Recognizing, Clustering and Generating Images, Video Sequences and Motion-capture Data
Reconstructing the Original Input Data from a Corrupted (Noisy) Version
Analyzing Visual Images
Gaining a Better Understanding of the Structure of Data
Understanding Text Data
Building Highly Accurate Predictive Models
Summary and Conclusion
기계 학습 주제, 특히 신경 네트워크에 대한 확실한 적용 범위. 주제를 많이 비판했다
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