In this article, you will get to learn about multi-label classification using deep learning, neural networks, and PyTorch. ...

In this tutorial, we discuss about different multi-head deep learning models. We discuss the different types of multi-label datasets that we can have and what kinds of multi-head deep learning models we need to build to tackle those datasets. ...

In this tutorial, readers will get to learn to use the SSD300 ResNet50 deep learning object detection model to detect objects in images and videos. This article gives hands-on experience with all the code necessary to detect objects in images and videos. ...

In this article, we will use the SSD300 object detector with VGG16 backbone to detect objects in images and videos. For this purpose, we will use the PyTorch deep learning framework. ...

This articles explains how to carry out multi-label image classification in deep learning. In particular, readers will get to implement a deep learning neural network model that classifies movie posters into multiple labels using PyTorch and deep learning. ...