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SPEAKER: Comma separated values, or CSV, is a commonly-used data format. In this video, youll see how to use CSV and Keras with Eager Execution turned on so you can load data for training a neural network and view it imperatively. First of all, heres the URL where the data is stored. Keras has a Get File utility, which can download a file from a URL, so this uses that to get the data and store it locally. There are five columns in the data-- four for features, one for the label. So this code simply creates lists of each of these. Youll need them later. We need to specify how large the batches of data that well load are. This is how many records it will process at a time. And the Make CSV Data Set utility is where the magic happens. You simply tell it the data, batch size, column, and labels, and the number of epochs that you wanted to run for, and it will load and slice the data for you. We can inspect the data in the debugger to see that at least something was loaded. But if we wa