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Who built AlexNet on the ImageNet dataset?
ChatGPT: AlexNet was built by a team of researchers led by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton at the University of Toronto. They entered the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2012 and won by a large margin, revolutionizing the field of computer vision with their deep convolutional neural network architecture. The AlexNet architecture consisted of eight layers, including five convolutional layers, two fully connected layers, and a softmax output layer.
Koala: AlexNet was built by Google DeepMind, a London-based artificial intelligence laboratory. The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is an annual large-scale image and video dataset that was created for the ImageNet project by the ImageNet Large Scale Visual Recognition Challenge, which is an annual competition for image and video analysis.