Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...

When chips are usually designed, scientists and engineers work with patterns and templates that are well-known. A new study published in Nature Communications tried a different approach: a ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

A new method, which uses synthetic datasets and transfer learning to overcome data scarcity and variability, significantly ...

CNNs are a type of artificial neural network used in deep learning. Such networks are composed of an input layer, several convolutional layers, and an output layer. The convolutional layers are the ...

Abstract: “In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning ...

Input Layer: The image data is fed into the network as a multi-dimensional array representing pixel values (for example, 32x32x3 for an RGB image). Convolutional Layers: These layers are the heart ...