Difference between revisions of "TensorFlow"
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* [http://ai.google/tools/ We’re making tools and resources available so that anyone can use technology to solve problems | Google AI] | * [http://ai.google/tools/ We’re making tools and resources available so that anyone can use technology to solve problems | Google AI] | ||
* [[Keras]] | * [[Keras]] | ||
| − | * [http://github.com/tensorflow/workshops TensorFlow Workshops] click on links to run in [[Colaboratory]] | + | * [http://github.com/tensorflow/workshops TensorFlow Workshops] click on links to run in [[Colaboratory]] (Colab) |
* [http://developers.google.com/machine-learning/crash-course/ Machine Learning Crash Course with TensorFlow APIs | Google] | * [http://developers.google.com/machine-learning/crash-course/ Machine Learning Crash Course with TensorFlow APIs | Google] | ||
* [http://www.youtube.com/results?search_query=Martin+Gorner TensorFlow without a PhD | Martin Görner] | * [http://www.youtube.com/results?search_query=Martin+Gorner TensorFlow without a PhD | Martin Görner] | ||
Revision as of 15:45, 14 April 2019
Youtube search... ...Google search
- Libraries & Frameworks
- TensorFlow.js ... Browser and Node Server
- TensorFlow Serving .. Cloud, On-prem
- TensorFlow Lite ... Android, iOS, Raspberry Pi
- TensorBoard
- TensorFlow Playground
- We’re making tools and resources available so that anyone can use technology to solve problems | Google AI
- Keras
- TensorFlow Workshops click on links to run in Colaboratory (Colab)
- Machine Learning Crash Course with TensorFlow APIs | Google
- TensorFlow without a PhD | Martin Görner
- Running Tensorflow in Production | Matthias Feys
- Simple Tensorflow Cookbook
- TensorFlow-Course | GitHub
- Git - GitHub and GitLab
- Coding TensorFlow <--- video series
TensorFlow 2.0
TensorFlow 2.0 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform, tight Keras integration. You can easily ingest datasets via tf.data pipelines, and you can monitor your training in TensorBoard directly from Colaboratory and Jupyter Notebooks. TensorFlow 2.0 and Google Cloud AI make it easy to train, deploy, and maintain scalable machine learning models | Paige Bailey and Barrett Williams - Google
- What’s coming in TensorFlow 2.0 | TensorFlow Team - Medium
- What’s in store for ML developers in TensorFlow 2.0? | Jane Elizabeth
TensorFlow 1.0
Eager Execution (Default in 2.0)
