Changes

Jump to: navigation, search

DPS921/PyTorch: Convolutional Neural Networks

2 bytes removed, 22:44, 27 November 2020
no edit summary
== Intro to Neural Networks ==
Artificial intelligence is an umbrella term and in fact, has many levels and implementationsof implementation. Machine learning is a subset of AI that focuses on these self-teaching algorithms. Deep learning is a further subset of machine learning where multi-layered artificial neural networks are employed to allow for more versatile, independent learning [1]. Machine learning algorithms that do not utilize deep learning would be less versatile in what they could learn and would need more hand-holding by programmers. A handy infographic is shown below:
[[File:Example.jpg]]
Update 1: Friday, Nov 6, 2020 - Created a basic CNN in jupyterlab using the pytorch Framework.
56
edits

Navigation menu