AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

A team of researchers from the National University of Singapore and collaborators at Oxford University, the University of ...

This despeckling architecture consists of an encoder network having the topology of ResNet34, whose certain feature vectors are passed through nonlocal (NL) neural network blocks and a novel subband ...

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

2 comments on “ KCL Leverages Topos Theory to Decode Transformer Architectures ... norart23 2024-09-20. Do u think encoder only or encoder-decoder is a matter of past block blast as chatGPT now takes ...

Encoder-Decoder with Convolution Layers . convolutional layers provide various features to perform different tasks of image processing and using convolutional layers and pooling layers downsample the ...

Keywords: semantic segmentation, convolutional neural network, encoder-decoder architecture, fruit segmentation, channel attention, spatial attention, segmentation grad-cam, autonomous harvesting ...