Machine Learning and Deep Learning
Computer Vision in AI encompasses various tasks including classical computer vision, deep learning based image classification, image classification, object detection etc.
In this article, we explore how to carry out practical multi-label classification using deep learning, neural networks, and PyTorch. The readers will get to know how use a multi-head ResNet50 deep learning model to categorize fashion items into multiple labels. ...
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. ...
This article explains how to use a deep learning neural network model to generate fictional celebrity faces. In particular, we use a convolutional variational autoencoder model to generate and train it on a real life celebrity images dataset. Then we try to generate fictional celebrity faces using this deep learning model. ...
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