Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras


Price: $37.98
(as of Dec 14,2024 12:28:21 UTC – Details)




Publisher ‏ : ‎ Packt Publishing (May 30, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 372 pages
ISBN-10 ‏ : ‎ 1788830644
ISBN-13 ‏ : ‎ 978-1788830645
Item Weight ‏ : ‎ 1.43 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 0.78 inches


In this post, we will explore how to use the latest version of TensorFlow, TensorFlow 2.0, to build powerful image processing applications using deep learning techniques. With the help of the Keras API, we will learn how to train deep neural networks for tasks such as image classification, object detection, and image segmentation.

We will start by understanding the basics of computer vision and deep learning, including convolutional neural networks (CNNs) and transfer learning. Then, we will dive into hands-on coding examples, where we will build and train CNN models using TensorFlow 2.0 and Keras.

Throughout the post, we will cover topics such as data preprocessing, model evaluation, and hyperparameter tuning. By the end of this post, you will have the knowledge and skills necessary to leverage deep learning for creating powerful image processing applications with TensorFlow 2.0 and Keras.

So, if you are interested in mastering computer vision and deep learning techniques, stay tuned for our upcoming posts on Hands-On Computer Vision with TensorFlow 2!
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