TensorFlow Tutorial 12 - TensorFlow Datasets

In this video we look at the datasets that are available to us through TensorFlow Datasets (tfds) and how we load them and then doing preprocessing, shuffling, batching, prefetching etc. For the example we load an image dataset (mnist) and a text dataset (imdb) and create simple models to do image classification and sentiment analysis.

New packages/imports we used in the video:
https://anaconda.org/conda-forge/matplotlib (pip install matplotlib)
https://anaconda.org/anaconda/tensorflow-datasets (pip install tensorflow_datasets)

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OUTLINE:
0:00 - Introduction
0:16 - Keras vs TFDS vs tf.data
1:54 - Imports
2:38 - Image Loading with TFDS
12:59 - Text loading with TFDS
28:15 - Results and Ending