The Recurrent Neural Network (RNN) is designed to work with data that naturally exists as part of a sequence
In Neural Networks, a batch is a subset of the training data that the network sees before the parameters are updated.
The following are some options that have been shown to reduce the risk of experiencing a vanishing or exploding gradient
In a deep network with many hidden layers, it can be very computationally intensive to compute derivatives of all of the parameters of the network.
Multilayer perceptrons models are suitable for both regression and classification tasks
In regards to the output layer, the choice of activation function should be compatible
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