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Understanding RBM Wang Yuantao 08/22/2009
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Taxonomy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Model Structure By Hinton
Model Assumption ,[object Object],[object Object]
Optimal Object Maximize:
Training Sampling
Training Phases 1. Init v0 by real rating 2. Sample h0 by v0 3. Reconstruct v1 by h0 4. Re-sample h1 by v1 5. Update W 6. Compute Eh
Prediction
Technical detail ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Temporal RBM ,[object Object],0.9373 0.9381 0.9385 0.9392 Original RBM
Contribution 0.8694 0.8688 RBM
Thanks ,[object Object],[object Object],[object Object],[object Object],[object Object]

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