For this example project I built a ball classifier to identify balls from different sports. This could be useful for someone who is new to sports from a certain country. They could take a picture of a ...

Using models created in MATLAB using the Deep Learning Toolbox Converting models from other frameworks into MATLAB Co-executing models from other frameworks with MATLAB This example provides an ...

In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...

Using CNN-FE, TL, and fine-tuning deep learning models as examples, this paper compares and analyzes deep learning algorithms for remote sensed image classification. After developing and training each ...

Predictive modeling is useful but very challenging in biological image analysis due to the high cost of obtaining and labeling training data. For example, in the study of gene interaction and ...

Microsoft Threat Protection today uses multiple deep learning-based classifiers that detect advanced threats, for example, evasive malicious PowerShell. In continued exploration of novel detection ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.