The document discusses the key features and updates of TensorFlow 2.0, highlighting its public design process, eager execution, and improved compatibility with TensorFlow 1.x. It emphasizes the removal of deprecated APIs, the transition to using tf.keras as the primary API, and introduces a conversion tool for migrating from 1.x to 2.0. Additionally, it outlines the implications for developers and promotes a deep learning bootcamp organized by Catalit LLC.

1. Catalit LLC
TENSORFLOW 2.0 AND KERAS
Francesco Mosconi
These slides: bit.ly/odsc20190124
Data Weekends
Catalit
Data Science
Zero to
Deep Learning

2. Catalit LLC
ABOUT US
www.catalit.com
Data Weekends
Catalit
Data Science
Zero to
Deep Learning
www.dataweekends.com bootcamp.zerotodeeplearning.com

3. Catalit LLC
TODAY
• Changes inTensorflow 2.0
• How it differsTensorflow 1.*
• How it differs from keras.io

4. Catalit LLC
SOMETIME IN AUGUST 2018 …

5. Catalit LLC
KEY POINTS
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity withTensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

6. Catalit LLC
TODAY
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity withTensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

7. Catalit LLC
KEY POINTS
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity withTensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

8. Catalit LLC
PUBLIC 2.0 DESIGN PROCESS
https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss
https://github.com/tensorflow/community/blob/master/governance/TF-RFCs.md
https://github.com/tensorflow/community/tree/master/rfcs

9. Catalit LLC
WHAT IT MEANS FORYOU
• Release date not defined yet
=> rumored forTF Dev Summit (March 6-7, 2019)
• If you’re aTF 1.x developer
=> start updating your code as soon as RFPs are accepted
• There will be a conversion tool from 1.x to 2.0 (won’t be
perfect, but hey…)

10. Catalit LLC
KEY POINTS
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity withTensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

11. Catalit LLC
EAGER EXECUTION
• Available since late 2017
• Following Pytorch and Chainer
• Imperative
• Define-by-run
• No static graph & session

12. Catalit LLC
EAGER EXECUTION
• Faster debugging with Python tools
• Dynamic models with Python control flow
• Support for custom and higher-order gradients

13. Catalit LLC
IS GRAPH GOING AWAY?
• No, you can still define models using the traditional
static graph approach

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Standard Tensorflow

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Standard Tensorflow
Eager Execution

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Standard Tensorflow

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Standard Tensorflow Eager Execution

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19. Catalit LLC
WHAT IT MEANS FORYOU
• Debug like Numpy, scale likeTensorflow
• Easier to build and test custom models
• Slower than static graph mode

20. Catalit LLC
KEY POINTS
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity withTensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

21. Catalit LLC
MODEL APIS INTF 1.X
• tf.core
• tf.layers
• tf.keras.layers
• tf.estimator.Estimator
• tf.contrib.learn.Estimator
• …

22. Catalit LLC
MODEL APIS INTF 2.0
• tf.core ====> Same
• tf.layers ====> Deprecated
• tf.keras.layers ====> Primary API
• tf.estimator.Estimator ====> API same, implementation changed to tf.keras
• tf.contrib.learn.Estimator ====> Deprecated
• …

23. Catalit LLC
MODEL APIS INTF 2.0
• tf.core ====> Same
• tf.layers ====> Deprecated
• tf.keras.layers ====> Primary API
• tf.estimator.Estimator ====> API same, implementation changed to tf.keras
• tf.contrib.learn.Estimator ====> Deprecated
• …

24. Catalit LLC
TF.KERAS
• What is it?
• How does it work?
• How does it differ from keras.io implementation?

25. Catalit LLC
WHAT IS KERAS?
https://towardsdatascience.com/deep-learning-framework-power-scores-2018-23607ddf297a

26. Catalit LLC
WHAT IS KERAS
• Keras is an API specification to design deep learning model
• https://keras.io/
=> independent reference implementation (usingTF or CNTK as backend)
• tf.keras
=>Tensorflow implementation of the same API spec
• Other frameworks implement some version of the API

27. Catalit LLC
MODEL DEFINITION IN KERAS
• Sequential API
• Functional API
• Model API

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SEQUENTIAL API

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SEQUENTIAL API

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FUNCTIONAL API

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MODEL API

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DIFFERENCES
• Support for Eager Execution
• tf.dataVS python data generators
• Model Exporting
• Compatible with Feature Columns
• Compatible with Estimators

33. Catalit LLC
KEY POINTS
• Public 2.0 design process
• Eager execution
• Remove deprecated APIs & reduce the amount of duplication
• Compatibility and continuity with Tensorflow 1.x
• Compatibility with 1.x exported models
• No more tf.contrib
• More platforms and languages

34. Catalit LLC
bootcamp.zerotodeeplearning.com
March 25 - 29 San Francisco Bay Area

35. Catalit LLC
SEEYOU IN MAY …
Francesco Mosconi
@framosconis fm@catalit.com
bootcamp.zerotodeeplearning.com
Data Weekends
Catalit
Data Science
Zero to
Deep Learning