Deep Learning

Course Content

Total learning: 3 lessons

Part -2

  1.  Tuning process
  2.  Using an appropriate scale to pick hyperparameters
  3.  Hyperparameters tuning in practice: Pandas vs. Caviar
  4.  Normalizing activations in a network
  5.  Fitting Batch Norm into a neural network
  6.  Why does Batch Norm work?
  7.  Batch Norm at test time
  8.  Softmax Regression
  9.  Training a softmax classifier
  10.  Deep learning frameworks
  11.  TensorFlow
  12. Notebook: Tensorflow
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