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  • Lecture 11
  • Training ConvNets in practice Data augmentation, transfer learning Distributed training, CPU/GPU bottlenecks Efficient ...
  • Network Layer, Routing View the complete course at: http://ocw.mit.edu/6-033S05 License: Creative Commons BY-NC-SA More ...
  • Lecture 11
  • Lecture 11

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I will have the next bit eight in case of single Lecture Approximation algorithms via dual fitting (wrap-up), LP integrality gaps, definitions of PTAS/FPTAS/FPRAS, PTAS for knapsack. Undergraduate Computational Complexity Theory

Lecture 11

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