Mathematics of Deep Learning

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning

Python Machine Learning and Python Deep Learning with Data Analysis, Artificial Intelligence, OOP, and Python Projects

Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case

Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.

Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow

Machine Learning, Natural Language Processing, Computer Vision, Adversarial Learning, Neural Networks, NLP