© Jojo Moolayil 2019
Jojo MoolayilLearn Keras for Deep Neural Networkshttps://doi.org/10.1007/978-1-4842-4240-7_3

3. Deep Neural Networks for Supervised Learning: Regression

Jojo Moolayil1 
(1)
Vancouver, BC, Canada
 

In Chapters 1 and 2, we explored the topic of DL and studied how DL evolved from ML to solve an interesting area of problems. We discussed the need for DL frameworks and briefly explored a few popular frameworks available in the market. We then studied why Keras is special and spent some time playing around with its basic building blocks provided to develop DNNs and also understood the intuition behind a DL model holistically. We then put together all our learnings from the practical exercises to develop a baby neural network for the Boston ...

Get Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.