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Neocognitron
Multiscale Computation and Dynamic Attention in Biological and Artificial
Deep Neural Network Models for Sequence Labeling and Coreference Tasks
Convolutional Neural Network Model Layers Improvement for Segmentation and Classification on Kidney Stone Images Using Keras and Tensorflow
The History Began from Alexnet: a Comprehensive Survey on Deep Learning Approaches
The Understanding of Convolutional Neuron Network Family
Methods and Trends in Natural Language Processing Applications in Big Data
The Neocognitron As a System for Handavritten Character Recognition: Limitations and Improvements
Memory Based Machine Intelligence Techniques in VLSI Hardware
An Improved Hierarchical Temporal Memory
What Can Computer Vision Teach NLP About Efficient Neural Networks?
Deep Learning 1.1. from Neural Networks to Deep Learning
Neocognitron: a Self-Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position
Convolutional Neural Networks for Language
Research Gate - March 2021
Recent Advances in the Deep CNN Neocognitron
Recent Advances in Convolutional Neural Networks
Intelligent Video Surveillance Dmitry Kangin
Deep Learning in Neural Networks: an Overview
Top View
Aplicações De Deep Learning Em Análise De Imagens Médicas
Image Classification Using Alexnet with SVM Classifier and Transfer Learning
Pattern Recognition by Hierarchical Temporal Memory
Convolutional Neural Networks
Representation Learning and Convolutional Neural Networks
Detecting Lung Cancer from PET Images Using CNN
Artificial Neural Networks Accurately Predict Language Processing in The
A Survey of the Usages of Deep Learning for Natural Language Processing Daniel W
1 Toward a Universal Cortical Algorithm: Examining Hierarchical
What Can Computer Vision Teach NLP About Efficient Neural Networks?
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Neocognitron for Handwritten Digit Recognition Kunihiko Fukushima Tokyo University of Technology, 1404-1, Ktakura, Hachioji, Tokyo 192-0982, Japan
Deep Learning Research Landscape & Roadmap in a Nutshell: Past, Present
A NEOCORTEX-BASED MODEL for PATTERN RECOGNITION By
Neocognitron: a Neural Network Model for a Mechanism of Visual Pattern Recognition - Kunihiko Fukushima, Sei Miyake, Takayuki Ito
Convolutional Neural Networks Bohan Li and Pengxiang Xu Questions: 1
Applications of Convolutional Neural Networks
A Novel Feature Maps Covariance Minimization Approach for Advancing Convolutional Neural Network Performance
Recent Advances in the Deep CNN Neocognitron