October 2018
Intermediate to advanced
472 pages
10h 57m
English
The following are some of the defined hyperparameters that we will be using throughout the code, and they are totally configurable:
# define optimizeroptimizer = Adam(lr=0.002)# input shape to the modelinput_shape=(3, 360, 480)# training batchsizebatch_size = 6# number of training epochsnb_epoch = 60
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