from?keras.layers?import?Conv1D?Dense?Dropout?BatchNormalization?MaxPooling1D?Activation?Flatten
from?keras.models?import?Sequential
from?keras.utils?import?plot_model
from?keras.regularizers?import?l2
import?preprocess
from?keras.callbacks?import?TensorBoard
import?numpy?as?np

#?訓練參數(shù)
batch_size?=?128
epochs?=?20
num_classes?=?10
length?=?2048
BatchNorm?=?True?#?是否批量歸一化
number?=?1000?#?每類樣本的數(shù)量
normal?=?True?#?是否標準化
rate?=?[0.70.20.1]?#?測試集驗證集劃分比例

path?=?r‘data\0HP‘
x_train?y_train?x_valid?y_valid?x_test?y_test?=?preprocess.prepro（d_path=pathlength=length
??????????????????????????????????????????????????????????????????number=number
??????????????????????????????????????????????????????????????????normal=normal
??????????????????????????????????????????????????????????????????rate=rate
??????????????????????????????????????????????????????????????????enc=True?enc_step=28）
#?輸入卷積的時候還需要修改一下，增加通道數(shù)目
x_train?x_valid?x_test?=?x_train[::np.newaxis]?x_valid[::np.new