TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...

90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is a momentous task in remote sensing domain. Recently, the explosive development of deep learning (DL) has dramatically ...

Abstract: High spatial resolution (HSR) image scene classification is currently a research hotspot, aiming to assign semantic labels based on visual information. However, many scene classification ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI Trump announces two new national holidays, including one on ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...