Nov. 10, 2022, 12:11 a.m. | Oreolorun Olu-Ipinlaye

Paperspace Blog blog.paperspace.com

In this article, we explore what dimensions imply in a convolutional neural network context. We show how to create a custom convnet as a baseline model, and then proceed to create new versions of it, with increased width, increased depth and the last one with both increased depth and width.

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