TY  - BOOK
AU  - 
AU  - Ganju,Siddha
AU  - Kasam,Meher
TI  - Practical deep learning for cloud, mobile, and edge: real-world AI and computer-vision projects using Python, Keras, and TensorFlow 
SN  - 9789352139248
U1  - 005.6 23
PY  - 2019///
CY  - India
PB  - Shroff / O'Reilly Media
KW  - TensorFlow
KW  - Python (Computer program language)
KW  - Artificial intelligence
KW  - Application software
KW  - Machine learning
KW  - Cloud computing
N1  - Includes index; Exploring the landscape of Artificial Intelligence -- What's in the picture: image classification with Keras -- Cats versus dogs: transfer learning in 30 lines with Keras -- Building a reverse image search engine: understanding embeddings -- From novice to master predictor: maximizing convolutional neural network accurcy -- Maximizing speed and performance of TensorFlow: a handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: up and running in 15 minutes -- Scalable inference serving on Cloud with TensorFlow Serving and KubeFlow -- AI in the browser with TensorFlow.js and mI5.js -- Real-time object classification on iOS with Core ML -- Not hotdog on iOS with Core ML and Create ML -- Shazam for food: developing android apps with TensorFlow Lite and ML Kit -- Building the purrfect cat locator app with TensorFlow Object Detection API -- Becoming a maker: exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: reinforcement learning with AWS DeepRacer
N2  - Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use
ER  -