A Convolutional Neural Network $($CNN$)$ is trained on images with objects consistently positioned in the bottom right corner. During inference, an image with the object placed in the top left corner is presented to the network. What is the likely outcome?

Group of answer choices

The CNN will always accurately recognize the object due to its translation invariance property.

The CNN will struggle to recognize the object because its learned features may not generalize well to different spatial locations despite the translational invariance.

The CNN will easily adapt to the new object position since it has learned diverse spatial representations.

The CNN will accurately recognize the object because its training data covers all possible object positions.