Abstract
This fast-track introductory guide was designed to get you acquainted with the field of DL using Keras in the fastest yet most effective way. I hope you had a great time on this journey. In this final chapter, we will take a brief look at the path ahead. We will try to answer the following question: what additional topics are important for a data scientist to ace the DL journey?
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Jojo Moolayil
About this chapter
Cite this chapter
Moolayil, J. (2019). The Path Ahead. In: Learn Keras for Deep Neural Networks. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4240-7_6
Download citation
DOI: https://doi.org/10.1007/978-1-4842-4240-7_6
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4239-1
Online ISBN: 978-1-4842-4240-7
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)