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Deep learning model to estimate the depth of image.
Implemented DenseNet architecture on CIFAR10 and achieved state of the art results (94.3%). Implemented this paper https://arxiv.org/abs/1608.06993
Deep learning algorithm for 10-class image classification on CIFAR-10 Dataset using 190-layer DenseNet-BC neural network architecture to get the test accuracy of 93% on test dataset.