Deep learning algorithms are used to create neural networks. These algorithms are responsible
for learning the parameters of the neural network, such as the weights and biases.
Backpropagation is a method used to train neural networks. It involves propagating the error
from the output layer back through the hidden layers in order to adjust the weights and biases.
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