car-behavioral-cloning

[15snehalgugale]

how to resolve this error

Sn_drive.py:127: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(24, (5, 5), strides=(2, 2), activation="elu")
cnn.add(Conv2D(24, 5, 5, activation='elu', subsample=(2, 2)))
Sn_drive.py:128: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(36, (5, 5), strides=(2, 2), activation="elu")
cnn.add(Conv2D(36, 5, 5, activation='elu', subsample=(2, 2)))
Sn_drive.py:129: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(48, (5, 5), strides=(2, 2), activation="elu")
cnn.add(Conv2D(48, 5, 5, activation='elu', subsample=(2, 2)))
Sn_drive.py:130: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="elu")
cnn.add(Conv2D(64, 3, 3, activation='elu'))
Sn_drive.py:131: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (3, 3), activation="elu")
cnn.add(Conv2D(64, 3, 3, activation='elu'))
Traceback (most recent call last):
File "C:\Users\Dell\Anaconda3\envs\car-behavioral-cloning\lib\site-packages\tensorflow\python\framework\ops.py", line 1628, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 0 in both shapes must be equal, but are 28224 and 1152. Shapes are [28224,100] and [1152,100]. for 'Assign_10' (op: 'Assign') with input shapes: [28224,100], [1152,100].

During handling of the above exception, another exception occurred:

[David-Un-ger]

you need to input the kernel_size as a tupel (5,5)

--> cnn.add(Conv2D(48, (5, 5), strides=(2, 2), activation="elu"))