Generative Adversarial Networks: Create Data from Noise | Toptal
Using deep neural network with small dataset to predict material defects - ScienceDirect
A Neural Network Architecture for High-Speed Database Query Processing
Google AI Blog: Using Neural Networks to Find Answers in Tables
Facebook AI Introduces 'Neural Databases', A New Approach Which Enables Machines to Search Unstructured Data and Connect The Fields of Databases and NLP - MarkTechPost
Evolutionary neural networks for deep learning: a review | SpringerLink
Graph Neural Network and Some of GNN Applications: Everything You Need to Know - neptune.ai
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data - The Lancet Digital Health
PDF) Neural Network Based Techniques for Estimating Missing Data in Databases
RNN: Recurrent Neural Networks — How to Successfully Model Sequential Data in Python | by Saul Dobilas | Towards Data Science
Real-Life Applications of Neural Networks | Smartsheet
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set - ScienceDirect
Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data | Genome Biology | Full Text
Best Public Datasets for Machine Learning and Data Science | Towards AI