New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
IEEE

Quantum Gated Recurrent Neural Networks

Abstract: The exploration of quantum advantages with Quantum Neural Networks (QNNs) is an exciting endeavor. Recurrent neural networks, the widely used framework in deep learning, suffer from the ...
Scientific Research Publishing

Prediction of the Price of Advanced Global Stock Markets Using Machine Learning: Comparative Analysis ()

Finance and Business Sector, Institute of Public Administration, Riyadh, Saudi Arabia. This paper seeks to forecast the daily closing prices of advanced global stock markets by employing machine ...
GitHub

003 Univariate Model using Recurrent Neural Networks.ipynb

"from sklearn.metrics import mean_absolute_error, mean_squared_error # For measuring model performance / errors\n", "from sklearn.preprocessing import MinMaxScaler # ...