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Hands-On Machine Learning on Google Cloud Platform

You're reading from   Hands-On Machine Learning on Google Cloud Platform Implementing smart and efficient analytics using Cloud ML Engine

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Length 500 pages
Edition 1st Edition
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Authors (3):
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Alexis Perrier Alexis Perrier
Author Profile Icon Alexis Perrier
Alexis Perrier
V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (18) Chapters Close

Preface 1. Introducing the Google Cloud Platform 2. Google Compute Engine FREE CHAPTER 3. Google Cloud Storage 4. Querying Your Data with BigQuery 5. Transforming Your Data 6. Essential Machine Learning 7. Google Machine Learning APIs 8. Creating ML Applications with Firebase 9. Neural Networks with TensorFlow and Keras 10. Evaluating Results with TensorBoard 11. Optimizing the Model through Hyperparameter Tuning 12. Preventing Overfitting with Regularization 13. Beyond Feedforward Networks – CNN and RNN 14. Time Series with LSTMs 15. Reinforcement Learning 16. Generative Neural Networks 17. Chatbots

Speech-to-text API

The Google Cloud Speech API enables developers to convert audio to text, by applying powerful neural network models in an easy-to-use API. The API recognizes over 110 languages and variants. One can transcribe the text of users dictating to an application's microphone, enable command-and-control through voice, or transcribe audio files, among many use cases.

In order to enable the speech to text API, search for it in the console, as follows:

In the resulting web page, enable the API, as follows:

Similar to the APIs mentioned in the previous sections, credentials obtained for one API can be replicated for the other Google APIs. So, we don't have to create credentials separately for the speech to text API.

Once the API is enabled, let's start the Cloud Shell and Datalab, as we did in the previous sections.

In the following code, we transcribe...

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