How to train own data by TCN?

[Tomandjob]

I build the TCN model is as follows：
model = Sequential()
model.add(TCN(50,return_sequences=False, input_shape=(nb_features,12)))
model.add(Dense(100, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(nb_class,activation='softmax'))
model.compile(loss='categorical_crossentropy',optimizer='sgd',metrics=['accuracy'])
model.summary()
However,
TypeError: The added layer must be an instance of class Layer. Found: <tcn.TCN object at 0x000001A8B62CA208>

[psomers3]

make sure you import the keras layers from tensor flow and not directly from keras.

from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Dropout

[Tomandjob]

make sure you import the keras layers from tensor flow and not directly from keras.

from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Dropout

Excellent! It solved my problem perfectly.Thank you!