Google

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• 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 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
  • Google DeepMind AlphaGo Zero
  • Google DeepMind AlphaStar
  • Google DeepMind AlphaFold
• AI Platform
  • All 29 AI announcements from Google Next ‘19: the smartest laundry list
  • Google launches AI Platform, a collaborative model-making tool for data scientists | Khari Johnson - VentureBeat
• 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