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 ...

In this article, we will discuss how Convolutional Neural Networks (CNN) classify objects from images (Image Classification ... Next, we will flatten our 1x1x3 channel to a one-dimensional array with ...

Image classification has become more interesting in the research field due to the development of new and high performing machine learning frameworks. With the advancement of artificial neural networks ...

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 ...