GitHub

tutorial_simple_lstm.rst

In this tutorial we will extend fairseq by adding a new :class:`~fairseq.models.FairseqEncoderDecoderModel` that encodes a source sentence with an LSTM and then passes the final hidden state to a ...
IEEE

An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device

Abstract: Recently, the combination of convolutional neural network (CNN) and long short-term memory (LSTM) exhibits better performance than single network architecture. Most of these studies connect ...
IEEE

A Multivariate Anomaly Detector for Satellite Telemetry Data Using Temporal Attention-Based LSTM Autoencoder

Abstract: Telemetry anomaly detection is a prominent health condition monitoring task that plays an increasingly crucial role in identifying unexpected events and improving satellite’s overall ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...