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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Natural Language Inference - A large Annonated Corpus

Hello people! Here I will be giving you an overview to a research paper related to Natural Language Inference. This is one of my favorite topics of study for why I chose this particular amazing research paper. Natural language along being interesting is one of the hot topics of study today and there is lots and lots of research happening in this domain.

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