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Analytics India Magazine2d
New Method Customises LLMs in Seconds, Beats Tuning: Research
A team of researchers from the National University of Singapore and collaborators at Oxford University, the University of ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...
IEEE3y
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
The convolutional neural network (CNN) model required a large dataset with detailed pixel-level information for the semantic segmentation of red blood cells in the deep learning domain. In current ...
Analytics India Magazine3y
Hands-on Guide to Image Denoising using Encoder-Decoder Model - Analytics India Magazine
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 ...
IEEE7y
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
This paper introduces a conveying path-based convolutional encoder-decoder (CPCE) network in 2-D and 3-D configurations within the GAN framework for LDCT denoising. A novel feature of this approach is ...
Scientific Research Publishing12y
FPGA Design and Implementation of a Convolutional Encoder and a Viterbi Decoder Based on 802.11a for OFDM - Scientific Research Publishing
In this paper, a modified FPGA scheme for the convolutional encoder and Viterbi decoder based on the IEEE 802.11a standards of WLAN is presented in OFDM baseband processing systems. The proposed ...