- Course
Sequence Models for Time Series and Natural Language Processing on Google Cloud
In this course, we’ll learn how to make predictions on sequences of data.
Advanced
- Course
Sequence Models for Time Series and Natural Language Processing on Google Cloud
In this course, we’ll learn how to make predictions on sequences of data.
Advanced
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What you'll learn
In this course, we’ll learn how to make predictions on sequences of data. We’ll cover common business use cases like- 1.time-series prediction and how to deal with more recent data points getting more relevance 2.translating entire sentences (aka sequences of words) into other languages You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.
Sequence Models for Time Series and Natural Language Processing on Google Cloud
Advanced
Table of contents
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Course Introduction | 1m 53s
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Sequence data and models | 5m 24s
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From sequences to inputs | 2m 42s
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Modeling sequences with linear models | 2m 53s
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Getting started with GCP and Qwiklabs | 3m 48s
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Lab intro:using linear models for sequences | 20s
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Lab: Time Series Prediction with a Linear Model | 10s
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Lab solution:using linear models for sequences | 7m 12s
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Modeling sequences with DNNs | 2m 44s
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Lab intro:using DNNs for sequences | 19s
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Lab: Time Series Prediction with a DNN Model | 10s
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Lab solution:using DNNs for sequences | 2m 18s
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Modeling sequences with CNNs | 3m 35s
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Lab intro:using CNNs for sequences | 19s
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Lab: Time Series Prediction with a CNN Model | 10s
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Lab solution:using CNNs for sequences | 3m 45s
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The variable-length problem | 4m 24s
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