In this chapter, we created a deep neural network for image classification problem in an enterprise-grade problem, medical diagnosis. Moreover, we also guided you through the process of reading DICOM digital medical image data for further researches. In the next chapter, we will build a production system that can self-improve by learning from users feedback.
Machine Learning with TensorFlow 1.x
By :
Machine Learning with TensorFlow 1.x
By:
Overview of this book
Google's TensorFlow is a game changer in the world of machine learning. It has made machine learning faster, simpler, and more accessible than ever before. This book will teach you how to easily get started with machine learning using the power of Python and TensorFlow 1.x.
Firstly, you’ll cover the basic installation procedure and explore the capabilities of TensorFlow 1.x. This is followed by training and running the first classifier, and coverage of the unique features of the library including data ?ow graphs, training, and the visualization of performance with TensorBoard—all within an example-rich context using problems from multiple industries. You’ll be able to further explore text and image analysis, and be introduced to CNN models and their setup in TensorFlow 1.x. Next, you’ll implement a complete real-life production system from training to serving a deep learning model. As you advance you’ll learn about Amazon Web Services (AWS) and create a deep neural network to solve a video action recognition problem. Lastly, you’ll convert the Caffe model to TensorFlow and be introduced to the high-level TensorFlow library, TensorFlow-Slim.
By the end of this book, you will be geared up to take on any challenges of implementing TensorFlow 1.x in your machine learning environment.
Table of Contents (13 chapters)
Preface
Free Chapter
Getting Started with TensorFlow
Your First Classifier
The TensorFlow Toolbox
Cats and Dogs
Sequence to Sequence Models-Parlez-vous Français?
Finding Meaning
Making Money with Machine Learning
The Doctor Will See You Now
Cruise Control - Automation
Go Live and Go Big
Going Further - 21 Problems
Advanced Installation
Customer Reviews