一维卷积网络重点图
keras使用1D卷积的例子
apply a convolution 1d of length 3 to a sequence with 10 timesteps
with 64 output filters
model = Sequential()
model.add(Convolution1D(64, 3, border_mode=‘same’, input_shape=(10, 32)))
now model.output_shape == (None, 10, 64)
add a new conv1d on top
model.add(Convolution1D(32, 3, border_mode=‘same’))