Learn about the best deep learning architectures for image recognition, such as CNNs, ResNets, GANs, Transformers, and Capsules. Discover how they work and what they can do.

Image Classification Project with Convolutional Neural Networks In this project, I developed multiple multiclass image classification models applying modern Deep Learning techniques. The goal is to ...

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 ...

Deep learning has been one of the main trends in machine learning, and one of the most popular scientific research trends in recent years, which has played a revolutionary role in the development of ...

This project is focussed at the development of Deep Learned Artificial Neural Networks for robust landcover classification in hyperspectral images. Land-cover classification is the task of assigning ...

The new solution speeds the deep-learning object-detection system by as many as 100 times, yet has outstanding accuracy. The advance is outlined in Spatial Pyramid Pooling in Deep Convolutional ...

Because of the aforementioned factors, food image classification based on deep learning methods has been receiving increasing attention. Some of the most common neural networks in food image ...

Satellite images have become a vital resource in a variety of fields, including environmental monitoring, urban planning, and disaster management. The adoption of deep learning algorithms has ...

Image classification with Loc-CAT using deep learning Another approach for classification of image patterns is machine learning. Toward this end, we used a deep neural network to create Loc-CAT.