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Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". Object detection isn't as standardized as image classification, mainly because most of the new developments are typically done by individual researchers, maintainers and developers, rather than...
David Landup
In this article we'll show you how to force update a component in React.js. More specifically, we'll be giving a brief introduction to React re-renders, we'll show how to force updates in class-based components, and how to force updates in functional components. React Re-Renders React itself automatically handles re-rendering...
Guest Contributor
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be used to build autonomous systems that navigate agents through environments - be it robots performing tasks or self-driving cars, but...
Most practitioners, while first learning about Convolutional Neural Network (CNN) architectures - learn that it's comprised of three basic segments: Convolutional Layers Pooling Layers Fully-Connected Layers Most resources have some variation on this segmentation, including my own book. Especially online - fully-connected layers refer to a flattening layer and (usually)...
Deep Learning frameworks like Keras lower the barrier to entry for the masses and democratize the development of DL models to unexperienced folk, who can rely on reasonable defaults and simplified APIs to bear the brunt of heavy lifting, and produce decent results. A common confusion arises between newer deep...
There are usually multiple ways to solve the problem using a computer program. For instance, there are several ways to sort items in an array - you can use merge sort, bubble sort, insertion sort, and so on. All of these algorithms have their own pros and cons and the...
Usman Malik
The K-nearest Neighbors (KNN) algorithm is a type of supervised machine learning algorithm used for classification, regression as well as outlier detection. It is extremely easy to implement in its most basic form but can perform fairly complex tasks. It is a lazy learning algorithm since it doesn't have a...
Cássia Sampaio
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