Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry

© Santanu Ganguly 2021

S. GangulyQuantum Machine Learning: An Applied Approachhttps://doi.org/10.1007/978-1-4842-7098-1_3

3. Neural Networks

Santanu Ganguly¹  

(1)

Ashford, UK

 

Chapter 2 looked at machine learning (ML), which emerged as a subfield of research in artificial intelligence. Deep learning (DL) is a subset of ML. It attempts to solve specific problems in areas of artificial intelligence, such as reasoning, planning, and knowledge representation.

Deep learning is centered on artificial neural networks (ANNs), which are powerful, scalable, and versatile. Google images use ANNs to classify billions of images at scale. From a mathematical perspective, a neural network (NN) can be looked at as a nonlinear regression model with a specific choice ...