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GitHub5y
MahmudulAlam/Image-Classification-Using-CNN - GitHub
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 ...
GitHub4y
padhi499/Image-Classification-using-CNN-on-FPGA: Project is about designing a Trained Neural Network on FPGA to classify an Image Input using CNN. - GitHub
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 ...
Analytics India Magazine5y
Transfer Learning For Multi-Class Image Classification Using CNN - Analytics India Magazine
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 ...
IEEE5y
DoT-Net: Document Layout Classification Using Texture-Based CNN
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 ...
IEEE1y
A Novel Classification System for Faster Assessment of IDS Alerts Using Convolutional Neural Network - IEEE Xplore
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 ...