This is the repository for the LinkedIn Learning course PyTorch Essential Training: Working with Images. The full course is available from LinkedIn Learning. Machine learning developers and data ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
With Apps in ChatGPT, Coursera is available to provide on demand education to users without breaking the flow of the conversation. When you’re deep into a project at 10 p.m. and suddenly need to learn ...
Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...
Machine Gun Kelly‘s new album Lost Americana is here (you know, the one Bob Dylan casually narrated the trailer for). While fans are already mining for details about his personal life in the songs, ...
A groundbreaking article published in Nano-Micro Letters provides a comprehensive blueprint for accelerating green-hydrogen production. Authored by Siyu Ye from Guangzhou University, the study ...
Abstract: Sound-based uroflowmetry (SU) is a non-invasive technique emerging as an alternative to traditional uroflowmetry (UF) to calculate the voiding flow rate based on the sound generated by the ...