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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
book

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

by David Paper
August 2021
Intermediate to advanced
388 pages
6h 25m
English
Apress
Content preview from State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
© 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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Publisher Resources

ISBN: 9781484273418Purchase LinkPublisher Website