Typer — Probably The Simplest To Use Python Command-Line Interface Library

Original Source Here Image by PublicDomainPictures from Pixabay Typer — Probably The Simplest To Use Python Command-Line Interface Library It stands on the shoulder of a giant — Click Last week, I have introduced one of the Python built-in modules — Argparse. It allows us to develop command-line interface tools very easily. We can defineContinue reading “Typer — Probably The Simplest To Use Python Command-Line Interface Library”

Computer vision using synthetic datasets with Amazon Rekognition Custom Labels and Dassault Systèmes 3DEXCITE

Original Source Here This is a post co-written with Bernard Paques, CTO of Storm Reply, and Karl Herkt, Senior Strategist at Dassault Systèmes 3DExcite. While computer vision can be crucial to industrial maintenance, manufacturing, logistics, and consumer applications, its adoption is limited by the manual creation of training datasets. The creation of labeled pictures inContinue reading “Computer vision using synthetic datasets with Amazon Rekognition Custom Labels and Dassault Systèmes 3DEXCITE”

Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training

Original Source Here Deep models require a lot of training examples, but labeled data is difficult to obtain. This motivates an important line of research on leveraging unlabeled data, which is often more readily available. For example, large quantities of unlabeled image data can be obtained by crawling the web, whereas labeled datasets such asContinue reading “Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training”

Transformers are RNNs | Fast Autoregressive Transformers with Linear Attention

https://cdn-images-1.medium.com/max/1600/0*izb90D2V7ghZqgZf Original Source Here Recent advances in deep learning enable transformers with linear complexity in terms of memory and computations for both training and… Continue reading on To cut a long paper short » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot