: 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 .
Create a to deploy your models.
: Master the creation of classical, convolutional (CNN), and deep neural networks. Hands-On Deep Learning for Images with TensorFl...
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 : Learn to prepare datasets and transform raw