Learning the basics of computer hardware, Part 2: Printers and peripheralsRobinson, P S
Computer fundamentals refers to the basics of using digital devices such as computers, smart phones and tablets. “Computer” used to only refer to the basics of using a computer and associated devices; however, it has since expanded to include most frequently-used digital devices. “Fundamentals...
Get Started Learn the basics of Deep Learning Toolbox Applications Explore deep learning workflows with computer vision, image processing, automated driving, signals, audio, text analytics, and computational finance Deep Learning with Simulink Extend deep learning workflows using Simulink ...
Filter basics Use filters to show rows matching criteria. Create a filter to show or hide data Create, use, and manage filters in Smartsheet Sheets folder deprecation FAQ Over the next several months, the Sheets folder will gradually be removed from some existing functionalities. Find ways to pr...
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook 6 Contrastive methods 6.1 Contrastive learning: Basics The primary objective of contrastive self-supervised learning is to learn a feature space or a representation in which the positive samples are closer together an...
Deep Learning for Computer Vision with Python An in-depth dive into the world of computer vision and deep learning. Start by learning the basics of DL, move on to training models on your own custom datasets, and advance to implementing state-of-the-art models. ...
Alto is a great way to understand the basics of machine learning. This section contains a number of experiments to help understand how Alto works, and introduce the basics of machine learning to others. Covering aspects from simple object recognition, to introducing k-nearest neighbor (kNN) algor...
《Back-to-Basics Weekend Reading - Machine Learning》 介绍:文中提到的三篇论文(机器学习那些事、无监督聚类综述、监督分类综述)都很经典,Domnigos的机器学习课也很精彩 《A Probabilistic Theory of Deep Learning》 介绍:莱斯大学(Rice University)的深度学习的概率理论. 《Nonsensical beer reviews via Markov ...
In computer vision transfer learning is commonly expressed through pre-trained models. A pre-trained model has been trained on a big extensive benchmark dataset to address a problem comparable to the one we're working on. Due to the computational cost and complexity of training new models, impo...
Basics of the Unix Philosophy, Eric S Raymond Eight Habits of Expert Software Designers: An Illustrated Guide No Silver Bullet - Essence and Accident in Software Engineering, Frederick P. Brooks, Jr. (1986) There are four properties of software systems which make building software hard: Complexi...