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Everything about Neural Network Intelligence
Microsoft open source library
NNI is a free and open-source AutoML toolkit developed by Microsoft. It is used to automate feature engineering, model compression, neural architecture search, and hyper-parameter tuning. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Neural Network IntelligenceA 5-minute orientation
- Skim a recent paper: Interpretability of artificial neural network models in artificial intelligence versus neuroscienceInfluential work since 2022
- Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence MetaheuristicsCited 140 times
- Go sideways: Lists of open-source artificial intelligence softwareA closely related topic
- Go sideways: ML.NETA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics
Bayesian regularisation neural network based on artificial intelligence optimisation
Neural-network based adaptive context prediction model for ambient intelligence
Energy-Efficient Distributed Spiking Neural Network for Wireless Edge Intelligence
Mining Mobile Intelligence for Wireless Systems: A Deep Neural Network Approach
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
Handwriting Recognition using Artificial Intelligence Neural Network and Image Processing
The Artificial Intelligence and Neural Network in Teaching
🆕 Influential since 2022
Interpretability of artificial neural network models in artificial intelligence versus neuroscience
Metamaterial-Based Analog Recurrent Neural Network Toward Machine Intelligence
A global cyber-threat intelligence system with artificial intelligence and convolutional neural network
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems
Artificial intelligence and the state: Seeing like an artificial neural network
📚 Books worth reading
Neural Information ProcessingLong Cheng, Andrew Chi Sing Leung · 2018
Neural Information ProcessingTingwen Huang · 2012
Advances in Computational IntelligenceIgnacio Rojas · 2013
Computational IntelligenceAndries P. Engelbrecht · 2002
PerceptronsMarvin Minsky, Seymour Papert · 1969
Complex-Valued Neural NetworksAkira Hirose · 2007
The Creativity CodeMarcus du Sautoy · 2019
Intelligent systemsBogdan M. Wilamowski · 2010
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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