头歌Tensorflow核心模块

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于 2024-06-13 11:08:29 发布

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文章标签： tensorflow neo4j 人工智能

本文链接：https://blog.youkuaiyun.com/m0_62710340/article/details/139649130

版权

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv1D, MaxPool1D, LSTM, BatchNormalization, Dropout, Flatten, Reshape
model = Sequential()
######### Begin########
# 1nd block 通道数 64
model.add(Conv1D(64, 3, activation="relu",
                 input_shape=(1, 1), padding="same"))
model.add(Conv1D(64, 3, activation="relu", padding="same"))
model.add(BatchNormalization(trainable=True))
model.add(MaxPool1D(pool_size=2, strides=1, padding='same'))
# 2nd b

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