Difference between revisions of "Google"
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* [http://codelabs.developers.google.com/ Google Developers Codelabs] | * [http://codelabs.developers.google.com/ Google Developers Codelabs] | ||
* [[TensorFlow]] | * [[TensorFlow]] | ||
| − | * [http://www.tensorflow.org/hub TensorFlow Hub] is a library for reusable machine learning modules. | + | * [http://www.tensorflow.org/hub TensorFlow Hub] is a library for reusable machine learning modules. TensorFlow Hub provides a library of TensorFlow modules that you can use to speed up the process of training your model. |
| − | * [[AI Hub]] | + | * [[AI Hub]] On the AI Hub, you can explore and use a variety of AI asset categories. |
* [http://deepmind.com/research/open-source/ DeepMind - Open Source] | * [http://deepmind.com/research/open-source/ DeepMind - Open Source] | ||
** [[Google DeepMind AlphaGo Zero]] | ** [[Google DeepMind AlphaGo Zero]] | ||
Revision as of 18:04, 2 October 2019
YouTube search... ...Google search
- Platforms: Machine Learning as a Service (MLaaS)
- Colaboratory (Colab) - Jupyter notebooks
- Google Developers Codelabs
- TensorFlow
- TensorFlow Hub is a library for reusable machine learning modules. TensorFlow Hub provides a library of TensorFlow modules that you can use to speed up the process of training your model.
- AI Hub On the AI Hub, you can explore and use a variety of AI asset categories.
- DeepMind - Open Source
- AI Platform
- Google Natural Language
- Kubeflow Pipelines ML workflows on Kubernetes
- Google Cloud
- Google Cloud Code and Google Kubernetes Engine (GKE)
- Google AutoML
- Cloud Vision
- Cloud Vision API - drag & drop picture on webpage
- Automated Machine Learning (AML) - AutoML
- We’re making tools and resources available so that anyone can use technology to solve problems | Google AI
- Dopamine - reinforcement learning algorithms
- Google AI Experiments
- ML Engine
- Prediction API
- Grow with Google
- Learn from ML experts at Google
- Tools and Resources
- Google Internet of Things (IoT)
- Psychlab for testing virtual agents in 3D environments
- Deep Reinforcement Learning (DRL) - Importance Weighted Actor-Learner Architecture (IMPALA)
- Google AIY Projects Program
- Android Neural Networks API
- BiqQuery ML (BQML)
- Firebase | Google
- DialogFlow
- Bidirectional Encoder Representations from Transformers (BERT)
- Google Analytics
- Gboard on Pixel phones now uses an on-device neural network for speech recognition | Kyle Wiggers - VentureBeat
The Path From Cloud AutoML to Custom Model (Cloud Next '19)
by Sara Robinson
