Review the GCP machine learning APIs that are available via Cloud AutoML. Also, learn about labeling in AutoML.
- In this next section, we're going to take a look…at a new set of services that are Google cloud platform…Auto Machine Learning or AutoML.…They're beta as of the time of this recording,…so you're going to want to check the documentation…when you're using the services, for updates.…So, what's AutoML?…The idea is that AutoML will create a Machine Learning model…using your labeled data.…It uses GCP ML models, so you don't select the model,…Google provides it, and Google autotunes…the model parameters.…
When you work with AutoML, you're gonna be presented…with model evaluation, so that you can tune your input.…Now, your input in this case, is the data,…rather than model parameters.…So, AutoML is available for, at the time of this recording,…Vision, Natural Language, and Translation.…You'll be supplying labels and labeled data as input.…And this does fall in the area of software as a service,…because you do not select the algorithm, the model,…the parameters or any of the other model-building…features that are associated with services…
Author
Released
10/23/2018- Hosting options: Serverless, containers, and virtual machines
- Enabling the GCP ML AIs
- Preparing data with Cloud Dataflow and Dataprep
- Modeling predictions for images, video, text to speech, and cloud translation
- Machine learning with AutoML
- Advanced machine learning and deep learning
- Machine learning architectures
Skill Level Intermediate
Duration
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Introduction
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What you should know1m 13s
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About using cloud services1m 33s
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1. Machine Learning on Google Cloud Platform
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GCP AI servers vs. platforms5m 11s
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Enable GCP ML APIs4m 25s
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2. Machine Learning API Services
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Overview of GCP ML APIs2m 38s
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Predict via BigQuery ML6m 29s
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3. Machine Learning with AutoML
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Understand AutoML Vision4m 57s
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4. Advanced Machine Learning
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Why build custom ML models?6m 59s
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Use Cloud ML Engine8m 2s
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Scale custom ML models3m 47s
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Understanding deep learning4m 33s
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Work with TensorBoard4m 45s
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GPUs and TPUs for TensorFlow5m 21s
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5. Machine Learning Architectures
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Chatbot with ML2m 42s
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GCP ML service for IoT apps3m 10s
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Conclusion
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Next steps1m 30s
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Video: Understand Cloud AutoML services