GitHub

autoencoder-mnist

Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...
Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
GitHub

Issues: Apolo5102/Autoencoder---MNIST

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Scientific Research Publishing

Ribeiro, M., Lazzaretti, A.E. and Lopes, H.S. (2018) A Study of Deep Convolutional Auto-Encoders for Anomaly Detection in Videos. Pattern Recognition Letters, 105, 13-22.

ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...
Jalopnik

All The Most Interesting Cars At The LA Auto Show Are Crossovers, And That's A Good Thing

People want crossovers and SUVs. That's no longer just an American thing; in the first half of 2023, market share for utility vehicles exceeded 50 percent in Europe for the first time ever, and it's ...
Slator

A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...