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According to the lecture RNNs are closer to
Finite State Machines
What's the difference between late fusion and early fusion attention mechanisms?
What is the most close thing to be a "memory" in some types of RNNs?
Choose all correct statements about Neural Stack:
Neural Stack is an ensemble of neural networks with different architectures
Neural Stack is a stack that can be learned to pop all inputs in reverse order
Neural network that simulates conventional stack is called Neural Stack
Neural Stack is a tuple of stack and neural network that learns to transform input data according to learned pattern
The possible way to deal with the bottleneck problem is
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