The python file named prog.py is the main file and the rest are helper functions. The analysis is performed on cifar10 dataset which was unpickled by cifar10.py file. The dataset can be downloaded from this link: https://www.cs.toronto.edu/~kriz/cifar.html Our code uses a saving mechanism which creates checkpoints after every 1000 iterations in order to save training time and divide the training into different intervals without loss of previously trained data
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Object detection using Convolutional Neural Networks
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