InvalidArgumentError: Graph execution error: Video 136, Model_10

[kelixirr]

My Code Of The Model After Data Augmentation. Model cloning was not working on my TensorFlow version for unknown reasons so I used this

**_model_10 = Sequential([
 Conv2D(10, 3, input_shape=(224, 224, 3)),
 Activation(activation='relu'),
 Conv2D(10, 3, activation='relu'),
 MaxPool2D(),
 Conv2D(10, 3, activation='relu'),
 Conv2D(10, 3, activation='relu'),
 MaxPool2D(),
 Flatten(),
 Dense(10, activation="softmax")                     
])

model_10.compile(loss='categorical_crossentropy',
                 optimizer=tf.keras.optimizers.Adam(),
                 metrics=['accuracy'])

history_10 = model_10.fit(train_data_augmented, 
                          epochs=5, 
                          steps_per_epoch=len(train_data_augmented),
                          validation_data=test_data,
                          validation_steps=len(test_data))_**

Error Message

input to reshape is a tensor with 9412800 values, but the requested shape requires a multiple of 28090
[[{{node sequential_9/flatten_9/Reshape}}]] [Op:__inference_train_function_20412]

[mrdbourke]

Hi @kelixirr,

This is a shape error with your model.

What have you tried so far?

Did you try changing the shapes of your data/model inputs?

[kelixirr]

Hi, I have fixed it. thanks