August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Overview
Unlock the power of Convolutional Neural Networks (CNNs) with "Hands-On Convolutional Neural Networks with TensorFlow". In this book, you will learn how to harness TensorFlow and Python to build, train, and deploy deep learning models for solving real-world computer vision problems effectively.
What this Book will help me do
- Understand the architecture and working of Convolutional Neural Networks.
- Develop expertise in TensorFlow and Python for training CNN models.
- Apply transfer learning to enhance your models' performance.
- Utilize CNNs for tasks like image classification and object detection.
- Implement neural networks that scale to large datasets and demands.
Author(s)
None Zafar, None Tzanidou, None Burton, None Patel, and None Araujo bring deep expertise in machine learning and software development. With practical industry experience and a passion for teaching, they guide readers step-by-step in mastering Convolutional Neural Networks using TensorFlow and Python.
Who is it for?
This book is tailored for software engineers, data scientists, and machine learning practitioners eager to apply CNNs to real-world challenges. A basic understanding of Python and machine learning principles will help readers progress smoothly. Aspiring professionals aiming to deepen their TensorFlow skills and apply them in computer vision will find this book invaluable.