An introduction to convolutional neural networks

K O'shea, R Nash - arXiv preprint arXiv:1511.08458, 2015 - arxiv.org
The field of machine learning has taken a dramatic twist in recent times, with the rise of the
Artificial Neural Network (ANN). These biologically inspired computational models are able
to far exceed the performance of previous forms of artificial intelligence in common machine
learning tasks. One of the most impressive forms of ANN architecture is that of the
Convolutional Neural Network (CNN). CNNs are primarily used to solve difficult image-
driven pattern recognition tasks and with their precise yet simple architecture, offers a …

[PDF][PDF] Introduction to convolutional neural networks

J Wu - National Key Lab for Novel Software Technology …, 2017 - cs.nju.edu.cn
This is a note that describes how a Convolutional Neural Network (CNN) operates from a
mathematical perspective. This note is self-contained, and the focus is to make it
comprehensible to beginners in the CNN field. The Convolutional Neural Network (CNN)
has shown excellent performance in many computer vision and machine learning problems.
Many solid papers have been published on this topic, and quite some high quality open
source CNN software packages have been made available. There are also well-written CNN …
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