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ImageNet classification with deep convolutional neural networks | Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1
Algorithms | Free Full-Text | A Review of Deep Learning Algorithms and Their Applications in Healthcare
Multilevel development of cognitive abilities in an artificial neural network | PNAS
Variational inference for continuous sigmoidal Bayesian networks
Long short-term memory - Wikipedia
Advances in Neural Information Processing Systems: Proceedings of the First 12 Conferences (The MIT Press): Jordan, Michael I., LeCun, Yann, Solla, Sara A.: 9780262561457: Amazon.com: Books
Keeping the neural networks simple by minimizing the description length of the weights | Proceedings of the sixth annual conference on Computational learning theory
Fast environmental sound classification based on resource adaptive convolutional neural network | Scientific Reports
Autoencoders, Minimum Description Length and Helmholtz Free Energy
Applied Sciences | Free Full-Text | Layer-Level Knowledge Distillation for Deep Neural Network Learning
Data-driven emergence of convolutional structure in neural networks | PNAS
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem | PNAS
MAKE | Free Full-Text | Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
Advances in Neural Information Processing Systems 15: Proceedings of the 2002 Conference (A Bradford Book): 9780262025508: Medicine & Health Science Books @ Amazon.com
Frontiers | An Introductory Review of Deep Learning for Prediction Models With Big Data
References
Electronics | Free Full-Text | TORRES: A Resource-Efficient Inference Processor for Binary Convolutional Neural Networks Based on Locality-Aware Operation Skipping
Bibliography
AI | Free Full-Text | End-to-End Transformer-Based Models in Textual-Based NLP
Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun
Abstract Introduction Conclusions Experiments and Analysis The Proposed Method
Electronics | Free Full-Text | Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms
Introducing principles of synaptic integration in the optimization of deep neural networks | Nature Communications