For translation-invariant tasks in image processing, which type of neural network architecture is most suitable?
- Autoencoders
- Siamese Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
Convolutional Neural Networks (CNNs) are well-suited for translation-invariant tasks, such as image processing, due to their ability to capture local patterns and features. CNNs can automatically learn and detect features in images, making them effective for tasks like object recognition and image classification.
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