CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired system that recognises patterns and features ...

This paper uses convolutional neural networks to try to discover the rules of a few exemplary processes. As the test cases, we consider John Conway’s Game of Life and plane wave propagation in 2D.

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

A base CNN model of 1 convolutional and 1 max pooling layer was built to test on the dataset. The model achieved object detection accuracy of around 85%. To optimize the model, a VGGNET architecture ...

Abstract: Convolutional neural networks use convolutional layers for feature extraction. Due to the limited feature extraction capabilities of traditional convolutional layers, the performance of ...