using partial from functools in keras

VVY answered on April 13, 2023 Popularity 1/10 Helpfulness 8/10

answer using partial from functools in keras

using partial from functools in keras

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# Example
from functools import partial

DefaultConv2D = partial(keras.layers.Conv2D,
                        kernel_size=3, activation='relu', padding="SAME")

model = keras.models.Sequential([
    DefaultConv2D(filters=64, kernel_size=7),
    keras.layers.MaxPooling2D(pool_size=2),
    DefaultConv2D(filters=128),
    DefaultConv2D(filters=128),
    keras.layers.MaxPooling2D(pool_size=2),
    DefaultConv2D(filters=256),
    DefaultConv2D(filters=256),
    keras.layers.MaxPooling2D(pool_size=2),
    keras.layers.Flatten(),
    keras.layers.Dense(units=128, activation='relu'),
    keras.layers.Dropout(0.5),
    keras.layers.Dense(units=64, activation='relu'),
    keras.layers.Dropout(0.5),
    keras.layers.Dense(units=2, activation='softmax'),
])

Popularity 1/10 Helpfulness 8/10 Language python

Source: Grepper

Tags: functools keras module partial python using

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Contributed on Apr 13 2023

VVY

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using partial from functools in keras

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