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.
Course info
Level
Advanced
Updated
Oct 29, 2019
Duration
4h 31m
Table of contents
Working with Sequences
Recurrent Neural Networks
Dealing with Longer Sequences
Text Classification
Reusable Embeddings
Encoder-Decoder Models
Summary
Description
Course info
Level
Advanced
Updated
Oct 29, 2019
Duration
4h 31m
Description

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.

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About the author

Build, innovate, and scale with Google Cloud Platform.

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