: Master the creation of classical, convolutional (CNN), and deep neural networks.
The book is designed for application developers, data scientists, and machine learning practitioners who want to integrate deep learning into software. To get the most out of the content, readers should have: A solid foundation in programming. A basic understanding of general deep learning concepts. Table of Contents Overview Hands-On Deep Learning for Images with TensorFlow - Packt Hands-On Deep Learning for Images with TensorFl...
Create a to deploy your models.
: Learn to prepare datasets and transform raw image data into tensors for machine learning. Project Implementations : Develop models specifically for MNIST digits recognition. Build effective image classifiers using Docker and Keras . : Master the creation of classical, convolutional (CNN),
: Understand natural language models to process both text and images simultaneously. Target Audience A basic understanding of general deep learning concepts
is a practical guide written by Will Ballard and published by Packt Publishing in July 2018. This 96-page book focuses on implementing real-world computer vision projects using TensorFlow and Keras . Key Learning Objectives
