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CMU-Deep-Learning-Systems

By the end of this course, you will

  • understand the basic function of modern deep learning libraries, including concepts like automatic differentiation, gradient-based optimization
  • be able to implement several standard deep learning architectures (MLPs, ConvNets, RNNs, Transformers), truly from scratch
  • understand how hardware acceleration (e.g., on GPUs) works under the hood for modern deep learning architectures, and be able to develop your own highly efficient code

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CMU 10-714 Deep-Learning-Systems

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