Ramona Kuehlechner·Apr 27Perfect in Testing. Unreliable in Production.Why real-world performance matters more than benchmark numbers
Stephan Pirner·Nov 30, 20251.3 Mastering the Loop — Improve Baselineimproving on what we have set the last time. If remembering part 2 of this series we have set up a repo to train, log and compare…
InAI MindbyFrancesco Franco·Apr 10, 2025Introduction to U-Net for Image SegmentationComputer vision has many sub fields and image segmentation is an important one of them. By classifying each individual pixel of an image or…
Ravindu Madusanka Kalapuge Don·Oct 7, 2023Statistical Learning Trevor Hastie & Robert Tibshirani Video 1.3(Short Not· We are going to learn about statistical models.
Eager minds·Jun 6, 2023Securing Machine Learning: The Role of Adversarial TrainingAs a data scientist, I feel, We have been in the era of AI when it is being used by every industries to make more profits and automate the…
Sunny Tholar·Dec 22, 2021How to choose your optimal optimizer?In most straightforward terms, optimization is choosing inputs that will result in the best possible outputs or making things the best they…
Nikhil Verma·Dec 4, 2021Pre-training of Deep Bidirectional Transformers for Language Understanding — BERTBERT is a language representation model which pre-trains deep bidirectional representations from text by jointly conditioning on context…
InAnalytics VidhyabyOm Chaithanya V·Aug 5, 2021PaddleHubPaddleHub is a toolkit with Awesome pre-trained models that enables us to perform Computer Vision and NLP tasks in a single line of code.
Nattapat Siripin·Sep 8, 2020The real integrated AI in everyday life… Grammarly!เพือนๆหลายๆคนที่เขียนภาษาอังกฤษก็มักจะคุ้นเคยกับการประสบปัญหาเรื่องของความไม่มั่นใจในการใช้หลักไวยากรณ์หรือ Grammar…
InThe StartupbyRohith Vazhathody·Jul 28, 2020What About a 6-Week Machine Learning Project? Beginners Friendly Cat vs Dog Classification Problem.By enrolling for a Machine Learning online course, I got a chance to gain a foothold in the field of ML. Through this course, I came to…