I have a NN here:
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")
])
that I want to visualize like these guys do in the upper right section with the "models" title:
http://cs230.stanford.edu/projects_fall_2019/posters/26259758.pdf
Does anyone know a tool I can use to make this a simple process?
question from:
https://stackoverflow.com/questions/65947268/illustrate-layers-of-artificial-nn 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…