我这里有一个NN:
model = keras.models.Sequential([
keras.layers.Conv2D(64, 7, activation="relu", padding="same",
input_shape = [40, 40, 1]),
keras.layers.MaxPooling2D(2),
keras.layers.Conv2D(128, 3, activation="relu", padding="same"),
keras.layers.Conv2D(128, 3, activation="relu", padding="same"),
keras.layers.MaxPooling2D(2),
keras.layers.Conv2D(256, 3, activation="relu", padding="same"),
keras.layers.Conv2D(256, 3, activation="relu", padding="same"),
keras.layers.MaxPooling2D(2),
keras.layers.Flatten(),
keras.layers.Dense(128, activation="relu"),
keras.layers.Dropout(0.5),
keras.layers.Dense(64, activation="relu"),
keras.layers.Dropout(0.5),
keras.layers.Dense(8, activation="softmax")
])
我想想象一下这些家伙在右上角的“模特”标题:
http://cs230.stanford.edu/projects_fall_2019/posters/26259758.pdf
有人知道我可以用什么工具来简化这个过程吗
目前没有回答
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