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Instructions
You will be provided a Cifar-10 dataset. Your goal is to train a convolutional neural network for classification on the dataset, and obtain as high validation accuracy (~0.7) as you can
In the first stage, you will choose the initial network configuration
In the second stage, you will run the network and check whether your configuration is good
Dataset Statistics
- Classes: 10
- Input data size: (3, 32, 32)
- Examples per split: Train (8500), Val (1500)
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validation accuracy is 0.