Investigación | 🇬🇧 Research

R0:2271580d5e4f655f084ee4605a50b147-labml.ai Deep Learning Paper Implementations

labml.ai Deep Learning Paper Implementations

27 de August de 2021

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, and the website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

Pages: 1 2
R0:0c354476e45d451a73b569693db4f74a-From Zero to Research Scientist full resources guide

From Zero to Research Scientist full resources guide

1 de April de 2021

This guide is designated to anybody with basic programming knowledge or a computer science background interested in becoming a Research Scientist with on Deep Learning and NLP.

Pages: 1 2
R0:8477de576deaf0ef41a00ad9e17c7171-Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems

Partial Differential Equations is All You Need for Generating Neural Architectures — A Theory for Physical Artificial Intelligence Systems

31 de March de 2021

In this work, we generalize the reaction-diffusion equation in statistical physics, Schrödinger equation in quantum mechanics, Helmholtz equation in paraxial optics into the neural partial differential equations (NPDE), which can be considered as the fundamental equations in the field of artificial intelligence research

Pages: 1 2 3
Federated Quantum Machine Learning

Federated Quantum Machine Learning

31 de March de 2021

We present the federated training on hybrid quantum-classical machine learning models although our framework could be generalized to pure quantum machine learning model. Specifically, we consider the quantum neural network (QNN) coupled with classical pre-trained convolutional model.

Pages: 1 2 3