Saturday, March 9, 2019

Deep Learning Deployment - Udacity Deep Learning Nanodegree Part 6

Note on Udacity Deep Learning nanodegree deployment in the machine learning workflow. Tool: Amazon Sagemaker service

Problem Introduction: Kaggle Boston Housing competition, trying to predict the median housing data based on features such as no. of rooms. Makes sense the house is more expensive if there are more no. of rooms. However, there are always variances, noises in the data cause the result to fluctuate from the true trend.

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Regularization in Machine Learning, Deep Learning

Regularization can prevent overfitting and potentially make algorithm converge faster and more performant. Useful in deep learning tasks, in...