Regularizing your Neural Network (Week 1 Summary)

This is part 2 summary of Prof Andrews specialization course "Improving Deep Neural Networks Hyperparameter, tuning, regularization, optimization" (Week1)

Regularization should be used when our neural network overfits the data. (And how'd we know if our NN overfits on data please refer Setting up Machine Learning Application) 

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Setting up your Machine Learning Application (Week 1 Summary)

This blog serves to provide summary for Prof Andrew ng deeplearning.ai specialisation course  "Improving Deep Neural Networks Hyperparameter tuning, Regularization & Optimization" 

A good high performance neural network largely depends on our choices how we set up our:

• training set
• development or dev set (validation set)
• test sets

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