Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

S. K. Adari, S. AllaBeginning Anomaly Detection Using Python-Based Deep Learninghttps://doi.org/10.1007/979-8-8688-0008-5_5

5. Introduction to Deep Learning

Suman Kalyan Adari¹   and Sridhar Alla²

(1)

Tampa, FL, USA

(2)

Delran, NJ, USA

 

This chapter introduces you to deep learning and all the fundamental, high-level concepts you need to know to implement powerful neural network models. These concepts will apply to the rest of the book and beyond. In the process, you will also implement a simple neural network model in both TensorFlow/Keras and PyTorch to perform supervised anomaly detection and serve as a gateway into learning how to model in these frameworks. ...