Location via proxy:
[ UP ]
[Report a bug]
[Manage cookies]
No cookies
No scripts
No ads
No referrer
Show this form
×
Please click
here
if you are not redirected within a few seconds.
All
Videos
Images
News
Maps
Shopping
Books
Search tools
Recent
Recent
Past hour
Past 24 hours
Past week
Past month
Past year
Archives
Sorted by relevance
Sorted by relevance
Sorted by date
(PDF) Revolutionizing Hedge Fund Risk Management: The Power of Deep Learning and LSTM in Hedging Illiquid Assets
ResearchGate
PDF | In the dynamic sphere of financial markets, hedge funds have emerged as a critical force, navigating through volatility with advanced...
1 month ago
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
Nature
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks.
34 months ago
Deep Net Tree Structure for Balance of Capacity and Approximation Ability
Frontiers
Deep learning has been successfully used in various applications including image classification, natural language processing and game theory...
57 months ago
A Brief Introduction to Geometric Deep Learning | by Jason McEwen
Towards Data Science
Deep learning is hard. While universal approximation theorems show that sufficiently complex neural networks can in principle approximate...
23 months ago
General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian
Nature
The combination of deep learning and ab initio calculation has shown great promise in revolutionizing future scientific research,...
13 months ago
Why does deep learning work so well? | by Samuel Flender
Towards Data Science
Modern machine learning research has demonstrated remarkable achievements. Today, we can train machines to detect objects in images, extract meaning from...
43 months ago
An Introductory Review of Deep Learning for Prediction Models With Big Data
Frontiers
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in...
52 months ago
An introduction to Convolutional Neural Networks | by Christopher Thomas BSc Hons. MIAP
Towards Data Science
A Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and are used mainly for image processing,...
61 months ago
Geometric foundations of Deep Learning | by Michael Bronstein
Towards Data Science
Geometric Deep Learning is an attempt for geometric unification of a broad class of ML problems from the perspectives of symmetry and...
38 months ago
Lidar 3d Object Detection Methods | by Mohammad Sanatkar
Towards Data Science
This blog post is best suited for those who have basic familiarity with image-based 2d object detection networks and are interested in...
48 months ago