"tensorflow Serving"

Build, scale, and deploy deep neural network models using the star libraries in Python

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

Begin your journey to build next-generation AI models from scratch with TensorFlow and create your own machine learning

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems.

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects