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Model description

Dit model predict om welke cijfer het gaat. Het tussen de 0 en 9.

Training and evaluation data

Training data = 0.96 acc

Test Data = 0.98 acc

Training hyperparameters

The following hyperparameters were used during training:

Hyperparameters Value
name Adam
weight_decay None
clipnorm None
global_clipnorm None
clipvalue None
use_ema False
ema_momentum 0.99
ema_overwrite_frequency None
jit_compile False
is_legacy_optimizer False
learning_rate 0.0010000000474974513
beta_1 0.9
beta_2 0.999
epsilon 1e-07
amsgrad False
training_precision float32

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