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DPS921/PyTorch: Convolutional Neural Networks

596 bytes added, 22:43, 27 November 2020
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== Progress ==
 
== Intro to Neural Networks ==
Artificial intelligence is an umbrella term and in fact, has many levels and implementations. 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.
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