© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
D. PaperState-of-the-Art Deep Learning Models in TensorFlowhttps://doi.org/10.1007/978-1-4842-7341-8_4

4. Deep Learning with TensorFlow Datasets

David Paper1  
(1)
Logan, UT, USA
 

In the previous chapter, we demonstrated how to work with TFDS objects. In this chapter, we work through two end-to-end deep learning experiments with large and complex TFDS objects. The Fashion-MNIST and beans datasets are small with simple images.

The first experiment works with a large dataset containing complex images of cats and dogs. The second one works with a dataset containing complex images of human hands. The human hands dataset is not as large as the one in the first experiment. ...

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