In this video we will do small image classification using CIFAR10 dataset in tensorflow. We will use convolutional neural network for this image classification problem. First we will train a model using simple artificial neural network and then check how the performance looks like and then we will train a CNN and see how the model accuracy improves. This tutorial will help you understand why CNN is preferred over ANN for image classification.
Code: [ Ссылка ]
Exercise: Scroll to the very end of above notebook. You will find exercise description and solution link
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DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
