基于Conv1D和LSTM的迁移学习模型代码

from tensorflow.keras.layers import Conv1D, BatchNormalization, Activation, LSTM, Concatenate, Dropout, Flatten, Dense, GlobalAveragePooling1D\nfrom tensorflow.keras.models import Model\n\n# Define the model\ndef transfer_learning_model(input_shape, num_classes):\n # Base model\n base_model = Model(inputs=input_shape, outputs=D111)\n\n # Freeze the base model layers\n for layer in base_model.layers:\n layer.trainable = False\n\n # Add additional layers\n x = base_model.output\n x = Flatten()(x)\n x = Dense(units=128, activation='relu')(x)\n x = BatchNormalization()(x)\n output = Dense(units=num_classes, activation='softmax')(x)\n\n # Create the transfer learning model\n model = Model(inputs=base_model.input, outputs=output)\n \n return model\n\n# Create the transfer learning model\ninput_shape = (input_shape)\nnum_classes = 10 # Change this to the number of classes in your dataset\nmodel = transfer_learning_model(input_shape, num_classes)