'list' object not callable

[sidra]

Still not enough. Nowhere in that code is plt assigned. It's used on line 18, but it must be assigned somewhere before that. You would get a different error if that were all your code.

import csv
import numpy as np
from pandas import read_csv
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import LSTM
from tensorflow.keras.callbacks import TensorBoard
import matplotlib.pyplot as plt

model = Sequential()
model.add(LSTM(lstm_units, input_shape=(num_timestamps,1)))
model.add(Dense(dense_units, activation='relu'))
model.add(Dense(dense_units, activation='relu'))
model.add(Dense(dense_units, activation='relu'))
model.add(Dense(num_classes, activation='softmax'))
model.compile(loss=tf.keras.losses.categorical_crossentropy, optimizer='adam', metrics=['accuracy'])
print('Model compiled successfully')
 
# --- Fit model
history=model.fit(train_X, train_Y ,epochs=epochs, batch_size=batch_size, verbose=1, validation_split=0.2)
print('Model fit successfully')
....
accuracy = model.evaluate(test_X, test_Y, batch_size=batch_size, verbose=1)
print('Evaluation of the model completed')
print(accuracy[1]*100, 'percent')
 
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()