23 lines
605 B
Python
23 lines
605 B
Python
import tensorflow as tf
|
|
import tensorflow.keras.layers as l
|
|
|
|
import generic as g
|
|
|
|
m = tf.keras.models.Sequential([
|
|
l.Input(shape = (2,)),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(100, activation = "relu"),
|
|
l.Dense(1)
|
|
])
|
|
|
|
#g.train_generic(m, "ff3")
|
|
g.verify_generic(m, "ff3")
|