Convolutional Neural Networks with Swift for Tensorflow Image Recognition and Dataset Categorization

It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet.
Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field.
You will:
Categorize and augment datasets
Build and train large networks, including via cloud solutions
Deploy complex systems to mobile devices