June 6, 2024, 1:01 p.m. | /u/AccomplishedPace6024

Machine Learning www.reddit.com

Hey hey!

Did a little experiment yesterday. Took the CIFAR-10 dataset and played around with the model architecture, using simulated annealing to optimize it.

Set up a reasonable search space (with a range of values for convolutional layers, dense layers, kernel sizes, etc.) and then used simulated annealing to find the best regions. We trained the models for just ONE single epoch and used validation accuracy as the objective function.

After that, we took the best-performing models and trained them …

architecture cifar-10 cnn convolutional dataset etc experiment hey kernel machinelearning search set space values

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