shape error(operands could not be broadcast together)

[jmwangi20]

Hello everyone....i ran onto an issue on google colab as i was doing the tensorflow course from daniel bourke which is absolutely amazing...the issue i ran onto was like this( operands could not be broadcast together with shapes (224,224,3) (2,) (224,224,3) )can anyone help me please
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPool2D, Flatten, Dense

Create our model (a clone of model_8, except to be multi-class)

model_9 = Sequential([
Conv2D(10, 3, activation='relu', input_shape=(224, 224, 3)),
Conv2D(10, 3, activation='relu'),
MaxPool2D(),
Conv2D(10, 3, activation='relu'),
Conv2D(10, 3, activation='relu'),
MaxPool2D(),
Flatten(),
Dense(10, activatioan='softmax') # changed to have 10 neurons (same as number of classes) and 'softmax' activation
])

Compile the model

model_9.compile(loss="categorical_crossentropy", # changed to categorical_crossentropy
optimizer=tf.keras.optimizers.Adam(),
metrics=["accuracy"])

Fit the model

history_9 = model_9.fit(train_data, # now 10 different classes
epochs=5,
steps_per_epoch=len(train_data),
validation_data=test_data,
validation_steps=len(test_data))