Setting Up Your Deep Neural Network Optimization Problem (Week 1 Summary)

Starting with normalizing our input features, why do we really need normalizing the input features on the first place? The simple answer is we normalize the input features so that the cost function is elongated so when the gradient descent is run, it makes it easier and faster to find its way to the minimum.

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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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