• Thumbnail for AlexNet
    AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey...
    14 KB (1,393 words) - 00:49, 25 October 2024
  • model achieved the same accuracy as AlexNet on ImageNet classification, but has a size 510x less than it. SqueezeNet was originally released on February...
    15 KB (1,195 words) - 03:35, 20 October 2024
  • University of Toronto, developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards. This revolutionized research in...
    3 KB (244 words) - 00:26, 5 September 2024
  • 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...
    17 KB (1,916 words) - 05:52, 20 October 2024
  • Thumbnail for LeNet
    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...
    19 KB (2,262 words) - 18:42, 3 November 2024
  • deep learning. He is notably the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. Sutskever co-founded...
    25 KB (1,996 words) - 07:07, 26 October 2024
  • on several benchmarks. Subsequently, AlexNet, a similar GPU-based CNN by Alex Krizhevsky et al. won the ImageNet Large Scale Visual Recognition Challenge...
    138 KB (15,433 words) - 19:43, 29 October 2024
  • Thumbnail for VGGNet
    in AlexNet) to just 3-by-3, a decision that was only revised in ConvNext (2022). VGGNets were mostly obsoleted by Inception, ResNet, and DenseNet. RepVGG...
    9 KB (944 words) - 22:09, 10 October 2024
  • Thumbnail for Activation function
    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...
    24 KB (1,921 words) - 15:33, 13 October 2024
  • Thumbnail for History of artificial intelligence
    available on the internet. In 2012, AlexNet, a deep learning model, developed by Alex Krizhevsky, won the ImageNet Large Scale Visual Recognition Challenge...
    146 KB (16,095 words) - 18:09, 1 November 2024
  • Thumbnail for Geoffrey Hinton
    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...
    58 KB (4,874 words) - 16:51, 1 November 2024
  • U-Net is a convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose...
    10 KB (1,151 words) - 21:14, 9 October 2024
  • Thumbnail for Deep learning
    Deep learning (redirect from Deep net)
    YouTube videos. In October 2012, AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition by a significant...
    181 KB (17,900 words) - 08:06, 3 November 2024
  • Squad Numbers Announced". CreweAlex.net. 27 July 2022. Retrieved 27 July 2022. "Demetriou named as Alex captain". CreweAlex.net. 9 August 2024. Retrieved 9...
    124 KB (11,284 words) - 10:53, 25 October 2024
  • development of a deep neural network (i.e., one with many layers) called AlexNet. It greatly outperformed other image recognition models, and is thought...
    84 KB (8,599 words) - 08:22, 2 November 2024
  • OpenAI (redirect from MuseNet)
    that form inside these neural networks easily. The models included are AlexNet, VGG-19, different versions of Inception, and different versions of CLIP...
    197 KB (17,004 words) - 05:16, 3 November 2024
  • 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...
    9 KB (2,338 words) - 08:44, 24 October 2024
  • non-expert. In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton developed a neural network called AlexNet, which won the ImageNet competition with...
    113 KB (12,324 words) - 11:34, 1 November 2024
  • intelligence tasks, Huang said that training the convolutional network AlexNet took six days on two of Nvidia's GTX 580 processors to complete the training...
    9 KB (965 words) - 05:07, 17 October 2024
  • Thumbnail for Neural network (machine learning)
    significantly. In October 2012, AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition by a significant...
    160 KB (16,932 words) - 11:59, 2 November 2024
  • 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...
    55 KB (7,829 words) - 21:47, 31 October 2024
  • Thumbnail for Feature learning
    Examples of generative approaches are Context Encoders, which trains an AlexNet CNN architecture to generate a removed image region given the masked image...
    45 KB (5,078 words) - 23:28, 25 October 2024
  • Thumbnail for Residual neural network
    attempts to train increasingly deep models. Notable examples included the AlexNet (2012), which had 8 layers, and the VGG-19 (2014), which had 19 layers...
    26 KB (2,849 words) - 16:51, 9 October 2024
  • architectures and the availability of large datasets and powerful GPUs. AlexNet, developed by Alex Krizhevsky et al. in 2012, was a catalytic event in modern deep...
    11 KB (1,272 words) - 10:45, 21 October 2024
  • learning approach of artificial neural networks such as the Perceptron and AlexNet, with examples of how AI systems can have unintended behavior. He tells...
    8 KB (804 words) - 12:36, 14 June 2024
  • Simonyan, Karen; Vinyals, Oriol; Graves, Alex; Kalchbrenner, Nal; Senior, Andrew; Kavukcuoglu, Koray (2016-09-12). "WaveNet: A Generative Model for Raw Audio"...
    15 KB (1,699 words) - 20:46, 5 March 2024
  • Thumbnail for Alex Warren
    House cast net worths: Here's how rich the TikTok stars are". PopBuzz. Retrieved August 24, 2023. Walthall, Catherine (September 3, 2022). "Alex Warren Drops...
    26 KB (1,696 words) - 09:51, 29 October 2024
  • Thumbnail for Dilution (neural networks)
    in 2012. Google currently holds the patent for the dropout technique. AlexNet Convolutional neural network § Dropout The patent is most likely not valid...
    10 KB (1,216 words) - 04:06, 29 August 2024
  • compress the model. The SqueezeNet paper reported that Deep Compression achieved a compression ratio of 35 on AlexNet, and a ratio of ~10 on SqueezeNets...
    10 KB (1,077 words) - 03:30, 20 October 2024
  • Thumbnail for Long short-term memory
    allow state tracking. 2004: First successful application of LSTM to speech Alex Graves et al. 2001: Gers and Schmidhuber trained LSTM to learn languages...
    52 KB (5,779 words) - 13:10, 17 October 2024