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Everything about Neural Turing machine
Type of recurrent neural network
A neural Turing machine (NTM) is a recurrent neural network model of a Turing machine. The approach was published by Alex Graves et al. in 2014. NTMs combine the fuzzy pattern matching capabilities of neural networks with the algorithmic power of programmable computers. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Neural Turing machineA 5-minute orientation
- Skim a recent paper: Neural Turing Machines for the Remaining Useful Life estimation problemInfluential work since 2022
- Pick up a classic book: Rethinking cognitive computationThe most-reprinted book on the subject
- Read the landmark paper: The human Turing machine: a neural framework for mental programsCited 37 times
- Go sideways: Differentiable neural computerA closely related topic
- Go sideways: Outline of deep learningA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
The human Turing machine: a neural framework for mental programs
Ternary-task convolutional bidirectional neural turing machine for assessment of EEG-based cognitive workload
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes
Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine
Emergent neural turing machine and its visual navigation
Automatic Student Engagement in Online Learning Environment Based on Neural Turing Machine
A Review on Neural Turing Machine (NTM)
A classifier task based on Neural Turing Machine and particle swarm algorithm
🆕 Influential since 2022
Neural Turing Machines for the Remaining Useful Life estimation problem
A provably stable neural network Turing Machine with finite precision and time
Differentiable-Decision-Tree-Based Neural Turing Machine Model Integrated Into FDTD for Implementing EM Problems
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction
A novel frequency-dependent hysteresis model based on improved neural Turing machine
📚 Books worth reading
Rethinking cognitive computationAndrew Wells · 2005- 📕Consequences of nonclassical measurement for the algorithmic description of continuous dynamical systemsChris Fields · 1989
Turing's connectionismChristof Teuscher · 2002
Models of massive parallelismMax Garzon · 1995
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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