Difference between revisions of "TensorFlow"
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* [http://playground.tensorflow.org TensorFlow Playground] | * [http://playground.tensorflow.org TensorFlow Playground] | ||
* [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]] | ||
| + | * [http://github.com/tensorflow/workshops TensorFlow Workshops] click on links to run in [[Colaboratory]] | ||
| + | * [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] | ||
| + | * [[Git - GitHub and GitLab]] | ||
| + | * [http://www.slideshare.net/matthiasfeys/running-tensorflow-in-production/1 Running Tensorflow in Production | Matthias Feys] | ||
| + | * [http://medium.com/tensorflow/whats-coming-in-tensorflow-2-0-d3663832e9b8 What’s coming in TensorFlow 2.0 | TensorFlow Team - Medium] | ||
| + | * [http://jaxenter.com/ml-tensorflow-2-0-154466.html What’s in store for ML developers in TensorFlow 2.0? | Jane Elizabeth] | ||
| + | * [http://www.notion.so/Simple-Tensorflow-Cookbook-6f4563d0cd7343cb9d1e60cd1698b54d Simple Tensorflow Cookbook] | ||
| + | * [http://github.com/machinelearningmindset/TensorFlow-Course TensorFlow-Course | GitHub] | ||
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* Related... | * Related... | ||
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** [[Swift]] | ** [[Swift]] | ||
| + | http://jaxenter.com/wp-content/uploads/2019/01/tensorflow-2-1-768x426.png | ||
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| + | * [[Coding TensorFlow]] <--- video series | ||
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| + | ==== 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 [http://jupyter.org/index.html Jupyter] Notebooks. [http://cloud.google.com/blog/products/ai-machine-learning/tensorflow-2-0-and-cloud-ai-make-it-easy-to-train-deploy-and-maintain-scalable-machine-learning-models 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] | 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 [http://jupyter.org/index.html Jupyter] Notebooks. [http://cloud.google.com/blog/products/ai-machine-learning/tensorflow-2-0-and-cloud-ai-make-it-easy-to-train-deploy-and-maintain-scalable-machine-learning-models 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] | ||
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| + | <youtube>b5Rs1ToD9aI</youtube> | ||
| + | <youtube>JmSNUeBG-PQ</youtube> | ||
| + | <youtube>tCYSce6l8gA</youtube> | ||
| + | |||
| + | ==== TensorFlow 1.0 ==== | ||
| + | <youtube>2FmcHiLCwTU</youtube> | ||
| + | <youtube>qVwm-9P609I</youtube> | ||
| + | <youtube>S9ElPZupUsE</youtube> | ||
| + | <youtube>tYYVSEHq-io</youtube> | ||
| + | <youtube>bYeBL92v99Y</youtube> | ||
| + | <youtube>Hk0yBpCqVRE</youtube> | ||
| + | <youtube>gplTc2F5Wvk</youtube> | ||
| + | <youtube>t81QhHaMS7w</youtube> | ||
| + | <youtube>kSa3UObNS6o</youtube> | ||
| + | <youtube>Rgpfk6eYxJA</youtube> | ||
| + | <youtube>eynHiQm-SUk</youtube> | ||
| + | <youtube>skf35x1lNV4</youtube> | ||
| + | <youtube>Q6ERFwQNkzo</youtube> | ||
| + | |||
| + | |||
| + | ==== Eager Execution (Default in 2.0) ==== | ||
| + | [http://www.youtube.com/results?search_query=eager+execution+tensorflow Youtube search...] | ||
| + | |||
| + | <youtube>T8AW0fKP0Hs</youtube> | ||
| + | <youtube>yPgvoLWSkFo</youtube> | ||
Revision as of 20:11, 7 April 2019
Youtube search... ...Google search
- Libraries & Frameworks
- TensorFlow Overview & Tutorials
- 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
- Machine Learning Crash Course with TensorFlow APIs | Google
- TensorFlow without a PhD | Martin Görner
- Git - GitHub and GitLab
- Running Tensorflow in Production | Matthias Feys
- What’s coming in TensorFlow 2.0 | TensorFlow Team - Medium
- What’s in store for ML developers in TensorFlow 2.0? | Jane Elizabeth
- Simple Tensorflow Cookbook
- TensorFlow-Course | GitHub
- 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
TensorFlow 1.0
Eager Execution (Default in 2.0)
