Image Classification Using CNN Canadian Institute for Advanced Research (CIFAR) provides a dataset that consists of 60000 32x32x3 color images of 10 classes, known as CIFAR-10, with 6000 images per ...

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 ...

DoT-Net is a multiclass classifier that can effectively identify document component blocks such as text, image, table, mathematical expression, and line-diagram, whereas most related methods have ...

The Intrusion Detection System (IDS) is designed to detect cyberattacks. However, given the vast number of alerts generated by IDS for different registered attack signatures, there's a growing demand ...

Project is about designing a Trained Neural n/w (CIFAR-10 dataset) on FPGA to classify an Image I/P using deep-learning concept(CNN- Convolutional Neural Network). There are 6 Layers(Sliding Window ...