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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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How to calculate the decay rate given an initial learning rate and final learning rate for s...
I am training a neural network in TensorFlow and I would like to use firstly an exponential decay optimizer scheduler (https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/schedules/Exponent …
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How to calculate the decay rate given an initial learning rate and final learning rate for s...
I ended up figuring it out.
For the exponential decay, it was easier than I thought, as the formula for the decay is
initial_learning_rate * decay_rate ^ (step / decay_steps)
and since by the end of …