Building Simple Web Scrapers for Image Data Collection
In this tutorial we show how to collect image data from the web to use in your computer vision, deep learning projects on Paperspace.
Understanding & Interpreting Convolutional Neural Network Architectures
In this article, we explore concepts related to convolutional neural network architectures with the intention of building our understanding enough to create and understand the capabilities of an AlexNet model, from scratch.
Network in Network: Utility of 1 x 1 Convolution Layers
In this article, we take a look at 1 x 1 convolution not only as a down-sampling tool, but also its many other potential uses with convolutional neural networks, such as dimensionality reduction or adding non-linearity.
Filters In Convolutional Neural Networks
This blog details different techniques for filtering image data and explores what these filters actually do to an image as it passes through the layers of a Convolutional Neural Network (CNN). https://blog.paperspace.com/filters-in-convolutional-neural-networks/