Examples
- Times Series Data
- Sentences
- Audio
- Car Trajectories
- Music
Let's imagine a sequence:
- [1,2,3,4,5,6]
Can you predict the future?
- [2.3.4.5.6.7]
Unrolling a neuron.
Each neuron has 2 inputs. previous and data.
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Cells that are a function of inputs from previous time steps are also known as memory cells.
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RNN are also flexible in their inputs and outputs, for both sequences and single vector values.
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It's easy to make a layer of recurrent neurons.
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RNN Layer with 3 Neurons
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**Sequence --> Sequence **
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[1,2,3,4,5,6]
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[2.3.4.5.6.7]
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Sequence --> Vector
- Did you like his music? no.
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Vector --> Sequence
- Send in an image, and receive a caption. Auto generating text. Picture of guy on beach. Text says, "Guy on beach."