XDA Developers on MSN

6 local LLMs I've used that prove they're not just smaller versions of cloud models

These local LLMs are changing the game in lots of fun ways.
IEEE

DBCTNet: Double Branch Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Currently, deep learning (DL) methods represented by convolutional neural networks (CNNs) or Transformers are of great interest in hyperspectral image (HSI) classification. And recent works ...
GitHub

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

This tutorial shows how to use Keras library to build deep neural network for ultrasound image nerve segmentation. More info on this Kaggle competition can be found ...
Scientific Research Publishing

Badrinarayanan, V., Kendall, A. and Cipolla, R. (2015) SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. arXiv: 1511.00561.

Badrinarayanan, V., Kendall, A. and Cipolla, R. (2015) SegNet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. arXiv 1511.00561.
Scientific Research Publishing

Kendall, A., Badrinarayanan, V. and Cipolla, R. (2015) Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. arXiv ...

Kendall, A., Badrinarayanan, V. and Cipolla, R. (2015) Bayesian SegNet Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. arXiv 1511.02680.