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Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019

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deep-neural-networks regularization-methods regularization gradient-descent-momentum gradient-descent-optimizers gradient-descent-methods coursera-machine-learning coursera-assignment andrew-ng-machine-learning andrew-ng-course deeplearning-ai tensorflow-examples

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

My solved programming assignments of "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" course of deeplearning.ai's specialization courses at coursera in August-2019

Topics:

  • Regularization
  • Normalization
  • Gradient Checking
  • Optimization Algorithms: Gradient descent with momentum, Mini-batch gradient descent, RMSprop, Adam optimization algorithm
  • Hyperparameter tuning
  • Batch Normalization
  • Tensorflow

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