Hands-On Deep Learning for Images with TensorFlow

Hands-On Deep Learning for Images with TensorFlow offers a hands-on approach to mastering image processing tasks using TensorFlow. You will learn to implement projects that leverage deep learning techniques such as convolutional neural networks in an accessible way to solve real-world problems.

What this Book will help me do

• Develop machine learning models tailored for image recognition tasks
• Implement convolutional neural networks efficiently using TensorFlow and Keras
• Prepare and preprocess images for effective model training
• Understand and design RESTful servers capable of serving image classifiers
• Gain confidence in deploying practical deep learning solutions in professional projects

Author(s)

The author, None Ballard, is an experienced deep learning practitioner specializing in applications of machine learning in computer vision. With a passion for teaching, they aim to make complex concepts accessible through a hands-on, project-driven approach.

Who is it for?

This book is ideal for application developers, data scientists, and machine learning practitioners looking to apply deep learning techniques to practical image-based problems. Readers should have a solid foundation in Python and a basic understanding of deep learning concepts to fully benefit from the content.