This book leverages UML as a catalyst for assisting software developers in designing Deep Learning model architectures. Also it offers software enterprises an approach to design production grade AI platforms for Building, Training and Deploying Deep Learning Models. Therefore, the book first takes its readers through the practical view of Deep Learning, Model Driven Architecture, UML standards and Metamodel instance generation in great details. Post this, it lands readers to the Holy Grail - i.e., the nuances of 'UML Metamodel for Deep learning'.

Autorentext

Arun Veeramani and Harsh Vardhan - AI Specialist in Product division of Digital Transformation Service Organization. Both the authors have collaborated in the past for creating Award Winning Software Product in Big Data and Machine Learning Optimization. They have rich experience in the field of Applied AI, Big Data and Distributed Computing.