Wie interagiert man in einer produktiven Umgebung mit Machine Learning Modellen? Im zweiten Teil unserer 4-teiligen Blogserie zum Thema Car Model Classification lernt ihr, wie ihr ein TensorFlow-Modell zur Bilderkennung mittels TensorFlow Serving bereitstellt und wie Modellabfragen ausgeführt werden können.
In dieser 4-teiligen Blogserie zur Klassifizierung von Automodellen möchten wir veranschaulichen, wie ein End-to-end Deep Learning-Projekt umgesetzt werden kann. Im ersten Teil zeigen wir, wie mittels Transfer Learning Fahrzeugbilder klassifiziert werden können. Insbesondere erfahrt ihr, wie ein vortrainiertes ResNet-Modell fine getuned werden kann, um einen Downstream-Task anzugehen.
Ziel dieses Artikels ist es zu zeigen, dass ein Finetuning der Tesseract-OCR auf einer kleinen Menge von Daten bereits eine dramatische Verbesserung der OCR-Leistung bewirken kann
In this blog post, our colleague Lukas gives you a high-level introduction to RDS files (vs. RData files) and serialization. The function checks whether there is already an RDS with the same name in the path, renames it if required, and provides it with a timestamp and a reference ARCHIVED_ON_xx. The function then saves the new RDS under the specified name.
As data scientists, getting our hands on the data we need is often the most challenging part of a project. In practice, we tend to make life hard on ourselves because we don’t use the best tools for the job. Well no longer! Read on to learn how can you can harness Airflow to orchestrate your own ETL processes like a pro!
For all those, who are struggling with the (kind of weird) Johns Hopkins University COVID-19 case data CSV files, we’ve created a free API that makes it easy to integrate the latest worldwide COVID-19 data into your application.
This blog is a hands-on experience in Dash, presenting core components, how to display figures with callbacks, supplying you with a working web application to play with, and the resources to build your own. Dash is a powerful tool for Python developers. Developed by the team behind Plotly, Dash is an open-source framework built on top of Flask, Plotly.js, and React.js.
In this blog post, Matthias shows you how to write and structure code even faster and more efficiently. Learn how to define keyboard shortcuts in RStudio with his step-by-step tutorial.
Continuing our effort of applying the principles of reactivity to the UI part of a ShinyApp, this blog introduces two ways of conditionally rendering UI-elements in your app. Both presented solutions accomplish the same goal, once from the server part and once from the UI part of your application.
A short overview of the functionalities of the R package gganimate: Learn how to turn your static ggplots in beautiful animations showcasing your data.