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