我想在内置的keras模型中用BatchNorm层取代GroupNorm层,例如ResNet50。我正在尝试将节点的层重置为我的新层,但是当我查询model.summary()时,没有什么改变。import tensorflow_addons as tfachannels = 3
for i,layer in e
## what my model looks like
model = Sequential()model.add(Conv2D(32, (5, 5), activation='relu', input_shape=x_ip_shape))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Conv2D(64, (7, 7), activation=