kernel_size=3, strides=1, padding=’same’, input_shape=(x_train.shape[1:])))
这是因为模型输入的维数有误,在使用基于tensorflow...的keras中,cov1d的input_shape是二维的,应该:
1、reshape x_train的形状
x_train=x_train.reshape((x_train.shape[0],x_train.shape...大神原文:
The input shape is wrong, it should be input_shape = (1, 3253) for Theano or (3253, 1) for TensorFlow...Conv1D
from keras.callbacks import LearningRateScheduler, EarlyStopping, ModelCheckpoint, ReduceLROnPlateau...from keras import optimizers
from keras.regularizers import l2
from keras.models import load_model
df_train