Serverless Deep Learning with TensorFlow and Serverless Framework

Deep and machine learning is becoming essential for a lot of businesses. But one of the main issues companies face with deep/machine learning is finding the right way to deploy these models. Serverless provides a cheap, scalable and reliable architecture for deep learning models.

During this session we’ll cover the following: - Using serverless for deep learning - standard ways of deploying deep learning applications, and how a serverless approach can be beneficial.

• “Hello world” code - a basic Lambda function with only 4 lines of code. There is no API here, we’ll start with the simplest possible example.

• Code decomposition - looking through the configuration file, and the python code for handling the model, to understand how the whole example works.

• API example - get a working API for image recognition on top of our example.