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Alex Krizhevsky
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
Lecture 1: Introduction
Lecture Notes Geoffrey Hinton
An Effective and Improved CNN-ELM Classifier for Handwritten Digits
Deep Learning for Computer Vision
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
Computer Vision and Its Implications Based on the Paper Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky, Ilya Sutskever, Geoffrey E
A Timeline of Artificial Intelligence
Arxiv:1810.03505V1 [Cs.CV] 2 Oct 2018
Training Recurrent Neural Networks
Deep Convolutional Networks
Classification of Image Using Convolutional Neural Network (CNN) by Md
Working Hard to Know Your Neighbor's Margins: Local Descriptor Learning
Dropout: a Simple Way to Prevent Neural Networks from Overfitting
Dropout: a Simple Way to Prevent Neural Networks from Overfitting
Deep Learning the AI Renaissance
Convolutional Neural Networks Slides by Ian Goodfellow, Fei-Fei Li, Justin Johnson, Serena Yeung, Marc'aurelio Ranzato a Bit of History
Imagenet Classification with Deep Convolutional Neural Networks
Top View
Imagenet Classification with Deep Convolutional
Convolutional Neural Networks the CIFAR-10 and CIFAR-100 Are Labeled Subsets of the 80 Million Tiny Images Dataset
Do Imagenet Classifiers Generalize to Imagenet?
Arxiv:2010.09875V2 [Cs.LG] 22 Mar 2021 2019)
Review on Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky Et
Deep Convolutional Networks
Continual Learning with Delayed Feedback Accuracy(CL-CNN Accuracy) with Various Queue Sizes
Introduction to Deep Learning
Boosted Convolutional Neural Networks 1
CIFAR-10: Image Classification Exercise
How Far Can We Go Without Convolution: Im
Machine Learning and Computer Vision Group