The following problems appeared in the first few assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments.
Classifying the letters with notMNIST dataset
Let’s first learn about simple data curation practices, and familiarize ourselves with some of the data that are going to be used for deep learning using tensorflow. The notMNIST dataset to be used with python experiments. This dataset is designed to look like the classic MNIST dataset, while looking a little more like real data: it’s a harder task, and the data is a lot less ‘clean’ than MNIST.
First the dataset needs to be downloaded and extracted to a local machine. The data consists of characters rendered in a variety of fonts on a 28×28 image. The labels are limited to ‘A’ through ‘J’ (10 classes). The training set has about 500k and…
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