# Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
## Week 1 - Practical Aspects of Deep Learning
- [Programming Assignment: Initialization](https://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Initialization/Initialization.ipynb)
- [Programming Assignment: Regularization](https://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Regularization/Regularization_v2a.ipynb)
- [Programming Assignment: Gradient Checking](https://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Gradient%20Checking/Gradient%20Checking%20v1.ipynb)

## Week 2 - Optimization Algorithms
- [Programming Assignment: Optimization](https://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week6/Optimization_methods_v1b.ipynb)

## Week 3 - Hyperparameter Tuning, Batch Normalization and Programming Frameworks
- [Programming Assignment: Tensorflow](https://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week7/TensorFlow_Tutorial_v3b.ipynb)


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Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

Week 1 - Practical Aspects of Deep Learning

Week 2 - Optimization Algorithms

Week 3 - Hyperparameter Tuning, Batch Normalization and Programming Frameworks

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