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4 cards from this section. Quick, good the night before a test.
What is the main use of RNNs?
Think about applications like language and audio.
What does a hidden state do?
Consider it as a memory.
What is the purpose of hidden states in RNNs?
Think about the concept of memory in discussions.
True or False: GRUs and LSTMs function identically.
Recall the differences in gating mechanisms.
Create a simple architecture for an RNN that handles a sequence of integers and predicts the next integer in that sequence. Which techniques would you incorporate to handle long-term dependencies?
Think about the structure of your network layers.
Discuss how modifying the activation function in the hidden layer of an RNN to ReLU affects its performance in learning sequences.
Analyze the interaction between activation functions and learning dynamics.
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