CNN (or Convolutional Neural Network) is the building block of all Computer Vision applications. Applications like self-driving cars, object recognition, face recognition, etc.

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...

What is a Convolutional Neural Network (CNN)? CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

Researchers from China's Shandong University have developed a novel method for fault diagnosis in PV arrays, using feature engineering and one-dimensional convolutional neural networks (1D-CNN).

For each level of abstraction, there exist one or more evaluation metrics. These metrics can be measured using benchmarks of fundamental operations. Attempts at a standardized microbenchmarking suite ...