Beginning Anomaly Detection Using Python-Based Deep Learning (2nd Edition)
Beginning Anomaly Detection Using Python-Based Deep Learning:
Implement Anomaly Detection Applications with Keras and PyTorch
English | 2024 | ASIN : B0CJWVJJJZ | 527 Pages | PDF EPUB | 28 MB
Implement Anomaly Detection Applications with Keras and PyTorch
English | 2024 | ASIN : B0CJWVJJJZ | 527 Pages | PDF EPUB | 28 MB
This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques. This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly detection. Over the course of the book, you will learn how to use Keras and PyTorch in practical applications. It also introduces new chapters on GANs and transformers to reflect the latest trends in deep learning.