Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

© Pramod Singh, Avinash Manure 2020

P. Singh, A. ManureLearn TensorFlow 2.0https://doi.org/10.1007/978-1-4842-5558-2_6

6. TensorFlow Models in Production

Pramod Singh¹  and Avinash Manure²

(1)

Bangalore, Karnataka, India

(2)

Bangalore, India

 

In this final chapter of the book, you will apply what you’ve learned in previous chapters and deploy the models built in TensorFlow 2.0 in a production environment. We believe that there are two principal aspects to using machine learning. The first is being able to build any sort of machine learning model and not integrate it with any application (standalone model). The other, more impactful aspect involves taking the trained machine learning model and embedding it with an application. The second approach is where ...