Comparison of the LeNet and AlexNet convolution, pooling, and dense layers (AlexNet image size should be 227×227×3, instead of 224×224×3, so the math will come out right. The original paper said different numbers, but Andrej Karpathy, the former head of computer vision at Tesla, said it should be 227×227×3 (he said Alex didn't describe why he put 224×224×3). The next convolution should be 11×11 with stride 4: 55×55×96 (instead of 54×54×96). It would be calculated, for example, as: [(input width 227 - kernel width 11) / stride 4] + 1 = [(227 - 11) / 4] + 1 = 55. Since the kernel output is the same length as width, its area is 55×55.)
AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton, who was Krizhevsky's Ph.D. advisor at the University of Toronto.[1][2]
AlexNet competed in the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012.[3] The network achieved a top-5 error of 15.3%, more than 10.8 percentage points lower than that of the runner up. The original paper's primary result was that the depth of the model was essential for its high performance, which was computationally expensive, but made feasible due to the utilization of graphics processing units (GPUs) during training.[2]
^Gershgorn, Dave (26 July 2017). "The data that transformed AI research—and possibly the world". Quartz.
^ abKrizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774.
^"ImageNet Large Scale Visual Recognition Competition 2012 (ILSVRC2012)". image-net.org.
AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey...
2012, a convolutional neural network (CNN) called AlexNet achieved a top-5 error of 15.3% in the ImageNet 2012 Challenge, more than 10.8 percentage points...
University of Toronto, developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards. This revolutionized research in...
SqueezeNet is not a "squeezed version of AlexNet." Rather, SqueezeNet is an entirely different DNN architecture than AlexNet. What SqueezeNet and AlexNet have...
network (CNN), and although CNNs had been around since at least LeNet in the 1990s, AlexNet helped pioneer their use in real-world applications through the...
such as SVM can achieve similar effects or even exceed the LeNet. Since the success of AlexNet in 2012, CNN has become the best choice for computer vision...
stepped down from the board. He is the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. Sutskever is also...
"under 25 million parameters", compared against 60 million for AlexNet. Just as ImageNet can be thought of as a database of classified visual objects,...
developed by Hinton et al, the ReLU used in the 2012 AlexNet computer vision model and in the 2015 ResNet model. Aside from their empirical performance, activation...
database and the NORB database. Subsequently, a similar CNN called AlexNet won the ImageNet Large Scale Visual Recognition Challenge 2012. When applied to...
In October 2012, the similar AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition by a significant...
image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge 2012 was a breakthrough...
non-expert. In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton developed a neural network called AlexNet, which won the ImageNet competition with...
that form inside these neural networks easily. The models included are AlexNet, VGG 19, different versions of Inception, and different versions of CLIP...
specifically to ingest one modality and output another modality, such as AlexNet for image to label, visual question answering for image-text to text, and...
development of a deep neural network (a neural network with many layers) called AlexNet. It greatly outperformed other image recognition models, and is thought...
learning approach of artificial neural networks such as the Perceptron and AlexNet, with examples of how AI systems can have unintended behavior. He tells...
2023. "Alex Warren: TikTok, Age, Parents, Girlfriend, Net Worth !". Best Toppers. September 25, 2022. Retrieved August 24, 2023. "Yes, Alex Warren Has...
(Jeopardy champion). A turning point was in 2012 when AlexNet (a deep learning network) won the ImageNet Large Scale Visual Recognition Challenge with half...
Examples of generative approaches are Context Encoders, which trains an AlexNet CNN architecture to generate a removed image region given the masked image...
for machine learning tasks. In 2012, Alex Krizhevsky adopted two GPUs to train a deep learning network, i.e., AlexNet, which won the champion of the ISLVRC-2012...
A NetApp FAS is a computer storage product by NetApp running the ONTAP operating system; the terms ONTAP, AFF, ASA, FAS are often used as synonyms. "Filer"...
function, which is non-differentiable at 0, has become quite popular, e.g. in AlexNet) The first factor is straightforward to evaluate if the neuron is in the...
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