Deep Learning with Python: A Hands-on Introduction

© Nikhil Ketkar 2017

Nikhil Ketkar, Deep Learning with Python, https://doi.org/10.1007/978-1-4842-2766-4_14

14. Training Deep Learning Models

Nikhil Ketkar¹ 

(1)Bangalore, Karnataka, India

Throughout the book we have covered the theoretical aspects of models and introduced the reader to a number of frameworks for Deep Learning. In this chapter we will cover the process of training deep learning models.

Performance Metrics

The model development process typically starts by formulating a crisp problem definition. This basically involves defining the input and the output of the model and the impact (usefulness) such a model can deliver. An example of such a problem definition is the classification of product images into product categories, the input to ...