Recurrent Neural Networks: What, When, How and Where
Explore the principles of recurrent neural networks and how they handle sequential data by retaining context from previous inputs. Understand why RNNs excel at time-dependent tasks like language prediction and audio analysis, and discover how LSTM extensions improve memory over longer sequences to enhance AI applications.
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Introduction
Your smartphone predicting your next word when you are typing, Alexa understanding what you are saying and tasks like making stock market predictions, understanding movie plots, composing music, language translation, and human learning: can you see what the common theme in this list is? These are examples where a sequence of information is crucial.
For example, look at the following sentence:
I like to have a cup of ___ for breakfast.
You are likely to guess that the missing word is coffee. But why didn’t you think of sandwich or ball ...