Keywords: ligand binding sites, drug discovery and development, in silico drug design, deep learning, graph neural network, recurrent neural network, generative model, machine learning Citation: Shi W ...

This post describes how to implement a Recurrent Neural Network (RNN) encoder-decoder for time series prediction using Keras. I will focus on the practical aspects of the implementation, rather than ...

Input embedding: The tokenized text is put into the neural network's transformer portion. Encoder-decoder attention: The transformer encodes the text input and generates a probability distribution ...

With the development of mobile devices, low-cost inertial measurement unit (IMU)-based research on inertial odometry for indoor localization is being actively conducted. Inertial odometry estimates ...

Nowadays, CAD deep learning applications pre-process images with image denoising models to reinforce learning and prediction. In this work, an innovative and lightweight deep multiscale convolutional ...