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correction: batches, not epochs.

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Connor Olding 2017-08-03 03:38:07 +00:00
parent 9138f73141
commit 001a997e09
2 changed files with 3 additions and 3 deletions
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4
onn.py
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@ -1153,8 +1153,8 @@ def run(program, args=None):
#optim_decay1 = 2, #optim_decay1 = 2,
#optim_decay2 = 100, #optim_decay2 = 100,
optim = 'adam', # note: most features only implemented for Adam optim = 'adam', # note: most features only implemented for Adam
optim_decay1 = 24, # first momentum given in epochs (optional) optim_decay1 = 24, # first momentum given in batches (optional)
optim_decay2 = 100, # second momentum given in epochs (optional) optim_decay2 = 100, # second momentum given in batches (optional)
nesterov = True, # not available for all optimizers. nesterov = True, # not available for all optimizers.
batch_size = 64, batch_size = 64,

2
onn_core.py
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@ -322,7 +322,7 @@ class RMSprop(Optimizer):
# mu = e**(-1/t) # mu = e**(-1/t)
# default: t = -1/ln(0.99) = ~99.5 # default: t = -1/ln(0.99) = ~99.5
# therefore the default of mu=0.99 means # therefore the default of mu=0.99 means
# an input decays to 1/e its original amplitude over 99.5 epochs. # an input decays to 1/e its original amplitude over 99.5 batches.
# (this is from DSP, so how relevant it is in SGD is debatable) # (this is from DSP, so how relevant it is in SGD is debatable)
super().__init__(lr) super().__init__(lr)