
Artificial Neural Networks
by B. Mehlig
Publisher: arXiv.org 2019
Number of pages: 206
Description:
These are lecture notes for my course on Artificial Neural Networks that I have given at Chalmers and Gothenburg University. This course describes the use of neural networks in machine learning: deep learning, recurrent networks, and other supervised and unsupervised machine-learning algorithms.
Download or read it online for free here:
Download link
(6MB, PDF)
Similar books
An Introduction to Neural Networksby Ben Krose, Patrick van der Smagt
This manuscript attempts to provide the reader with an insight in artificial neural networks. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
(17372 views)
Artificial Neural Networks- Wikibooks
Neural networks excel in a number of problem areas where conventional von Neumann computer systems have traditionally been slow and inefficient. This book is going to discuss the creation and use of artificial neural networks.
(17570 views)
From Complexity to Creativityby Ben Goertzel - Plenum Press
This text applies the concepts of complexity science to provide an explanation of all aspects of human creativity. The book describes the model that integrates ideas from computer science, mathematics, neurobiology, philosophy, and psychology.
(18117 views)
Machine Learning, Neural and Statistical Classificationby D. Michie, D. J. Spiegelhalter - Ellis Horwood
The book provides a review of different approaches to classification, compares their performance on challenging data-sets, and draws conclusions on their applicability to realistic industrial problems. A wide variety of approaches has been taken.
(31852 views)