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 ...

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 ...