checkpoints tensorflow
Hi,
I am beginner in Data Science and machine learning field. I am searching for the tutorials to learn:
checkpoints tensorflow
Try to provide me good examples or tutorials links so that I can learn the topic "checkpoints tensorflow". Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners.
Thanks
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March 15, 2018 at 8:33 AM
Hi,
If you are beginner in Data Science and searching for the best tutorials for getting started with this technologies then I would suggest following tutorials for you:
What are the skills required to be a Data Scientist?
What skills you need to become a data scientist?
Checkout Data Science Tutorials
Why learn python for data science?
Data Science Training Courses:
Data Science for beginners - a complete beginner's guide to learn Data Science
Big Data and Data Science online training course for software developers
Online TensorFlow 2.0 training course
Thanks
November 18, 2020 at 4:39 AM
Hi,
You can save your TensorFlow model in two ways:
- Checkpoints, OR
- SavedModel.
So, What does Checkpoints contains?
The Checkpoints captures the exact value of all parameters (tf.Variable objects) at a particular time inside the model. If you save the Checkpoints at a particular time then it will have all the state of the model at that point. During training phase Checkpoints file are saved to preserve previous training.
It is noted that the Checkpoints does not have any description of the computation defined by the model.
The SavedModel is different from Checkpoints as it includes a serialized description of the computation which is defined by the model in addition to the parameter values (checkpoint). Models saved in this way (SavedModel) are independent of the source code that created the model. Such saved Models can be deployment via TensorFlow Serving, TensorFlow Lite, TensorFlow.js, or programs in other programming languages (the C, C++, Java, Go, Rust, C# etc. TensorFlow APIs).
Thanks
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