Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda

Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda: Training serverless deep learning models using the AWS infrastructure

This book prepares you to use your own custom-trained models with AWS Lambda to achieve a simplified serverless computing approach without spending much time and money. By the end of the book, you will be able to implement a project that demonstrates the use of AWS Lambda in serving TensorFlow models.

Furthermore, we will cover deep learning and the TensorFlow framework. We will look at how to train neural networks, but more importantly, we will cover how to use pretrained neural networks in your application and where you can find them. After that, we will look into how to deploy deep learning applications using the serverless approach. We will also cover their advantages, disadvantages, possible limitations, and good practices.

Later on, we will build a number of applications that will utilize the serverless deep learning approach. We will make a planning API and take a look at the AWS API Gateway service, and explore how to deploy everything in a convenient way. In the later stages, we will make a deep learning pipeline and an AWS simple query service. We will explore how to use it with AWS Lambda and showcase how to deploy the application.

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