LeylaMova/image-classification

In this project, we'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. we'll preprocess the images, then train a convolutional neural network on all the samples. We'll get to apply what you learned and build a convolutional, max pooling, dropout, and fully connected layers.

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