In a nutshell New research in mice shows the brain learns complex patterns through simple exposure — no rewards needed.

Deep learning, especially through convolutional neural networks (CNN) such as the U-Net 3D model, has revolutionized fault identification from seismic data, representing a significant leap over ...

Convolutional Neural Networks can thus differ considerably in their objective function (the goal of the system), learning rule (how parameters are updated to improve the goal), and circuit ...

The proposed frameworks utilize convolutional neural network as the core technique to train these prediction models. The training dataset is collected from 15 industrial designs using a leading ...

The most recent news about crypto industry at Cointelegraph. Latest news about bitcoin, ethereum, blockchain, mining, cryptocurrency prices and more ...

Quaternion convolutional neural networks (QCNNs) expand the range of their applications in processing optical and polarimetric synthetic aperture radar (PolSAR) images. Conventional real-valued ...

Otherwise, no data is sent on to the network’s next tier. A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning system that can take an image as input, assign learnable weights and biases to ...