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To work with stored data, file handling becomes the core knowledge of every professional Python programmer. Right from its earliest release, both reading and writing data to files are built-in Python features. In comparison to other programming languages like C or Java, it is pretty simple and only requires a...
Frank Hofmann
Python programmers intensively use arrays, lists, and dictionaries as serialized data structures. Storing these data structures persistently requires either a file or a database to properly work. In this article, we'll take a look at how to write a list to file, and how to read that list back into...
Sometimes confused with linear regression by novices - due to sharing the term regression - logistic regression is far different from linear regression. While linear regression predicts values such as 2, 2.45, 6.77 or continuous values, making it a regression algorithm, logistic regression predicts values such as 0...
Cássia Sampaio
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, keypoint detection (oftentimes used for pose estimation) was extracted. Object detection and keypoint detection aren't as standardized as image classification, mainly because most of...
David Landup
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...
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
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