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gradient-checking

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A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

  • Updated Apr 26, 2019
  • Jupyter Notebook

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