Deep learning is a branch of machine learning that uses many layers of artificial neurons stacked one on top of the other for identifying complex features within the input data and solving complex real-world problems. It can be used for both supervised and unsupervised machine-learning tasks. Deep learning is currently used in areas such as computer vision, video analytics, pattern recognition, anomaly detection, text processing, sentiment analysis, and recommender system, ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
S. PattanayakPro Deep Learning with TensorFlow 2.0https://doi.org/10.1007/978-1-4842-8931-0_11. Mathematical Foundations
Santanu Pattanayak1
(1)
Prestige Ozone, Bangalore, Karnataka, India
Get Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
