This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
Introduction to the TensorFlow ecosystem
Loading...
Skills You'll Learn
Machine Learning, Python Programming, Build Input Data Pipeline, Tensorflow, keras
Reviews
4.4 (2,690 ratings)
- 5 stars61.82%
- 4 stars25.09%
- 3 stars8.99%
- 2 stars2.56%
- 1 star1.52%
DW
Oct 16, 2018
pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!
SS
Jun 5, 2018
Nice introduce, might be more on introduce the model structure, because I still need to read additional notes to locate how to train my deep learning model online.
From the lesson
Introduction to the TensorFlow ecosystem
This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.
Taught By
Google Cloud Training
Explore our Catalog
Join for free and get personalized recommendations, updates and offers.
Coursera Footer
© 2022 Coursera Inc. All rights reserved.
