Difference between revisions of "Google"
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| − | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, | + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS |
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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[http://www.google.com/search?q=Google+Cloud+AI+With+TensorFlow ...Google search] | [http://www.google.com/search?q=Google+Cloud+AI+With+TensorFlow ...Google search] | ||
| + | * [http://ai.google/tools/ Tools and Resources] | ||
* [[Platforms: Machine Learning as a Service (MLaaS)]] | * [[Platforms: Machine Learning as a Service (MLaaS)]] | ||
* [[Colaboratory]] (Colab) - [[Jupyter]] notebooks | * [[Colaboratory]] (Colab) - [[Jupyter]] notebooks | ||
| Line 45: | Line 46: | ||
* [http://grow.google/ Grow with Google] | * [http://grow.google/ Grow with Google] | ||
* [http://ai.google/education/ Learn from ML experts at Google] | * [http://ai.google/education/ Learn from ML experts at Google] | ||
| − | + | ||
* [http://research.google/teams/brain/pair/ People + AI Research (PAIR)] ... devoted to advancing the research and design of people-centric AI systems. | * [http://research.google/teams/brain/pair/ People + AI Research (PAIR)] ... devoted to advancing the research and design of people-centric AI systems. | ||
* [[Google Internet of Things (IoT)]] | * [[Google Internet of Things (IoT)]] | ||
| − | * [[Psychlab]] | + | * [[Psychlab]] ...testing virtual agents in 3D environments |
| − | * [[Deep Reinforcement Learning (DRL)]] | + | * [[Deep Reinforcement Learning (DRL)]] ...Importance Weighted Actor-Learner Architecture (IMPALA) |
| − | * [[Google AIY Projects Program]] | + | * [[Google AIY Projects Program]] ... connect Vision or Voice Kit to a Wi-Fi network right from mobile device |
| − | * [http://developer.android.com/ndk/guides/neuralnetworks/ Android Neural Networks API] | + | * [http://developer.android.com/ndk/guides/neuralnetworks/ Android Neural Networks API] ...machine learning on Android devices |
* [http://cloud.google.com/bigtable Big\Table] ...designed with a storage engine for machine learning applications leading to better predictions | * [http://cloud.google.com/bigtable Big\Table] ...designed with a storage engine for machine learning applications leading to better predictions | ||
* [http://cloud.google.com/pubsub Pub/Sub] ...messaging and ingestion for event-driven systems and streaming analytics. | * [http://cloud.google.com/pubsub Pub/Sub] ...messaging and ingestion for event-driven systems and streaming analytics. | ||
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* [http://firebase.google.com/ Firebase] ...mobile and web functionality like analytics, databases, messaging and crash reporting | * [http://firebase.google.com/ Firebase] ...mobile and web functionality like analytics, databases, messaging and crash reporting | ||
* [[DialogFlow]] ...creating conversational AI applications, including chatbots, voicebots, and IVR bots | * [[DialogFlow]] ...creating conversational AI applications, including chatbots, voicebots, and IVR bots | ||
| − | * [http://analytics.google.com/analytics/web/#/ Google Analytics] | + | * [http://analytics.google.com/analytics/web/#/ Google Analytics] ...measure your web traffic |
* [[Teachable Machine]] ...train a computer to recognize your own images, sounds, & poses | * [[Teachable Machine]] ...train a computer to recognize your own images, sounds, & poses | ||
* [[Google Coral]] ...toolkit to build products with local AI. Our on-device inferencing capabilities | * [[Google Coral]] ...toolkit to build products with local AI. Our on-device inferencing capabilities | ||
Revision as of 10:03, 13 September 2020
YouTube search... ...Google search
- Tools and Resources
- Platforms: Machine Learning as a Service (MLaaS)
- Colaboratory (Colab) - Jupyter notebooks
- Hands-on labs
- TensorFlow
- TensorBoard ...TensorFlow's visualization toolkit
- TensorFlow Hub is a library for reusable machine learning modules that you can use to speed up the process of training your model. A TensorFlow module is a reusable piece of a TensorFlow graph. With transfer learning, you can use TensorFlow modules to preprocess input feature vectors, or you can incorporate a TensorFlow module into your model as a trainable layer. This can help you train your model faster, using a smaller dataset, while improving generalization.
- AI Hub - explore and use a variety of AI asset categories. AI Hub offers a collection of components for developers and data scientists building artificial intelligence (AI) systems. Use AI Hub to: [1] Find, deploy, and use Kubeflow Pipelines and components, [2] explore code and learn in interactive Jupyter notebooks, [3] explore and reuse TensorFlow modules, Explore, deploy, and use trained models, [4] use prepackaged virtual machine (VM) images to quickly set up your AI environment, and [5] share AI components with your colleagues.
- DeepMind - Open Source
- AI Platform
- Natural Language:
- Language Interpretability Tool (LIT) | Google - GitHub
- Google Natural Language
- Google Semantic Reactor
- Bidirectional Encoder Representations from Transformers (BERT)
- Gboard on Pixel phones now uses an on-device neural network for speech recognition | Kyle Wiggers - VentureBeat
- Universal Sentence Encoder lite a model that encodes text into 512-dimensional embeddings. These embeddings can then be used as inputs to natural language processing tasks such as sentiment classification and textual similarity analysis. This module is a TensorFlow.js
- 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
- People + AI Research (PAIR) ... devoted to advancing the research and design of people-centric AI systems.
- Google Internet of Things (IoT)
- Psychlab ...testing virtual agents in 3D environments
- Deep Reinforcement Learning (DRL) ...Importance Weighted Actor-Learner Architecture (IMPALA)
- Google AIY Projects Program ... connect Vision or Voice Kit to a Wi-Fi network right from mobile device
- Android Neural Networks API ...machine learning on Android devices
- Big\Table ...designed with a storage engine for machine learning applications leading to better predictions
- Pub/Sub ...messaging and ingestion for event-driven systems and streaming analytics.
- BiqQuery ML (BQML) ...enables users to create and execute machine learning models in BigQuery by using standard SQL queries.
- Firebase ...mobile and web functionality like analytics, databases, messaging and crash reporting
- DialogFlow ...creating conversational AI applications, including chatbots, voicebots, and IVR bots
- Google Analytics ...measure your web traffic
- Teachable Machine ...train a computer to recognize your own images, sounds, & poses
- Google Coral ...toolkit to build products with local AI. Our on-device inferencing capabilities
- Google Sheets ...access, create, and edit your spreadsheets wherever you go — from your phone, tablet, or computer
- Google Facets ...contains two robust visualizations to aid in understanding and analyzing machine learning datasets
The Path From Cloud AutoML to Custom Model (Cloud Next '19)
by Sara Robinson
