I am currently running several experiments and codes, also to add to the collection of our model architecture and training data for this determined ai hackathon. Looking for people who can contribute and code for us.
"Efficient Distributed Training with Determined AI"
This code uses the CIFAR-10 dataset, a common benchmark dataset for image classification. The model architecture is a convolutional neural network that consists of two convolutional layers, max-pool
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