Beginning Anomaly Detection Using Python-Based Deep Learning 2 / converted Edition Suman Kalyan Adari

Beginning Anomaly Detection Using Python-Based Deep Learning 2 / converted Edition – Ebook PDF Instant Download/Delivery ISBN(s): 9781484251775, 1484251776

Product details:

• ISBN-10: 1484251776
• ISBN-13: 9781484251775
• Author: Sridhar Alla; Suman Kalyan Adari

This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks.

Table contents:

1. What Is Anomaly Detection?
2. Traditional Methods of Anomaly Detection
3. Introduction to Deep Learning
4. Autoencoders
5. Boltzmann Machines
6. Long Short-Term Memory Models
7. Temporal Convolutional Networks
8. Practical Use Cases of Anomaly Detection

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