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Applied Deep Learning with Keras

You're reading from   Applied Deep Learning with Keras Solve complex real-life problems with the simplicity of Keras

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Product type Paperback
Published in Apr 2019
Publisher
ISBN-13 9781838555078
Length 412 pages
Edition 1st Edition
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Authors (3):
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Matthew Moocarme Matthew Moocarme
Author Profile Icon Matthew Moocarme
Matthew Moocarme
Mahla Abdolahnejad Mahla Abdolahnejad
Author Profile Icon Mahla Abdolahnejad
Mahla Abdolahnejad
Ritesh Bhagwat Ritesh Bhagwat
Author Profile Icon Ritesh Bhagwat
Ritesh Bhagwat
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Toc

Recurrent Neural Networks (RNNs)


RNNs are a class of neural networks that are built on the concept of sequential memory. Unlike in traditional neural networks, an RNN predicts the results in sequential data. Currently, an RNN is the most robust and powerful technique available for processing sequential data.

If you have access to a smartphone that has Google Assistant, try opening it and asking the question: "When was the United Nations formed?". The answer is displayed in the following screenshot:

Figure 9.2: Google Assistant's output

Now ask a second question, "Why was it formed?", as follows:

Figure 9.3: Google Assistant's contextual output

Now ask a third question, "Where are its headquarters?", and you should get the following answer:

Figure 9.4: Google Assistant's output

One interesting thing to note here is that we only mentioned "United Nations" in the first question. In the second and third question, we simply asked the assistant why it was formed and where the headquarters were, respectively...

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