VGG16: Revision history

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23 December 2023

  • curprev 11:5611:56, 23 December 2023‎ Ai talk contribs‎ 3,460 bytes +3,460‎ Created page with "== Introduction == The VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". The model achieves 92.7% top-5 test accuracy in ImageNet, which is a dataset of over 14 million images belonging to 1000 classes. VGG16 was trained for weeks and was using NVIDIA Titan Black GPUs. == A..."
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