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.
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.
Author Name: Google Cloud
Author Description:
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Table of Contents
- Working with Sequences
42mins - Recurrent Neural Networks
15mins - Dealing with Longer Sequences
62mins - Text Classification
35mins - Reusable Embeddings
28mins - Encoder-Decoder Models
84mins - Summary
3mins
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