Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow (Paperback)

1.Exploring the Landscape of Artificial Intelligence
2.What's in the Picture: Image Classification with Keras
3.Cats Versus Dogs: Transfer Learning in 30 Lines with Keras
4.Building a Reverse Image Search Engine: Understanding Embeddings
5.From Novice to Master Predictor: Maximizing Convolutional Neural Network Accuracy
6.Maximizing Speed and Performance of TensorFlow: A Handy Checklist
7.Practical Tools, Tips, and Tricks
8.Cloud APIs for Computer Vision: Up and Running in 15 Minutes
9.Scalable Inference Serving on Cloud with TensorFlow Serving and KubeFlow
10.AI in the Browser with TensorFlow.js and ml5.js
11.Real-Time Object Classification on iOS with Core ML
12.Not Hotdog on iOS with Core ML and Create ML
13.Shazam for Food: Developing Android Apps with TensorFlow Lite and ML Kit
14.Building the Purrfect Cat Locator App with TensorFlow Object Detection API
15.Becoming a Maker: Exploring Embedded AI at the Edge
16.Simulating a Self-Driving Car Using End-to-End Deep Learning with Keras
17.Building an Autonomous Car in Under an Hour: Reinforcement Learning with AWS DeepRacer