Name: Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week)
Uploaded: 2020-03-25T03:23:30.000Z
Duration: 1 min 58 s
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In this video, you'll see how to use CSV and Keras with Eager

for training a neural network and view it imperatively.

First of all, here's the URL where the data is stored.

uses that to get the data and store it locally.

There are five columns in the data-- four

So this code simply creates lists of each of these.

We need to specify how large the batches of data that we'll load

This is how many records it will process at a time.

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.

to see that at least something was loaded.

look at the next iter of the training data

set that was created, then print out the features or labels.

we can see that the features are loaded nicely

So that's it for loading CSV into TensorFlow

To learn more about TensorFlow, visit tensorflow.org.

And if you've any questions about this video,

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Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week)

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