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Best Model for CIFAR100: Experiment 3.2 by Bogdan-Mihai Tabacu is a document available to read on EtoBox.

The document describes several experiments with different neural network architectures on a CIFAR100 dataset. Experiment 3.2 achieved the highest accuracy of 37.319% using a 2 layer convolutional network with 8 and 16 filters in each layer respectively, making it the most suitable architecture.

Author
Bogdan-Mihai Tabacu
Language
EN