Various Applications of RNN

Lets look at some of areas where RNNs are used extensively

Text generation

Since language is sequentially organized with grammar and proper semantics, we highly rely on RNN predictive algorithms.

Text generation can be utilized for multiple purposes

  • Text summarization

Condensing the original text into a distillation of critical points, widely used in project management during onboarding

  • Document generation

Commonly used in banking and insurance for creating forms as per client's requests

  • Report generation

Sentiment Analysis

In NLP, sentiment analysis is very widely used concept. For example assigning ratings to movies based on comments provided by people

Image classification and Image captioning

Used for classifying an image to a class, by learning through a set of features to the neural network and providing a caption to a given input image

Handwritten digit recognition and speech recognition

Google alexa, Amazon echo, Apple siri are examples of speech recognition where machine understands the language and performed actions accordingly.

Let us look at another interesting application of RNN - RNNs Movie

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