APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
given character & sequence whats the most probable next character
|
|
|
predict following character in each time step
|
|
|
maintaining internal state that depends on previously seen elements
|
|
|
generate a new piece of music based on model
|
|
|
learn patterns in ABC music and generate a new piece based on model.
|
Detailed explanation-1: -RNN: Used for speech recognition, voice recognition, time series prediction, and natural language processing.
Detailed explanation-2: -Stay organized with collections Save and categorize content based on your preferences. This tutorial shows you how to generate musical notes using a simple recurrent neural network (RNN). You will train a model using a collection of piano MIDI files from the MAESTRO dataset.
Detailed explanation-3: -To train the RNNs, BPTT is used. “Through time” is appended to the term “backpropagation” to specify that the algorithm is being applied to a temporal neural model (RNN). The task of BPTT is to find a local minimum, a point with the least error. By adjusting the values of weights, the network can reach minima.