Explore the diverse types of deep learning architectures, whether you’re in the USA or worldwide. CNNs focus on spatial data for image processing, RNNs capture temporal relationships for tasks like speech recognition, and Autoencoders perform dimensionality reduction. GANs enable creative applications like image synthesis, while Transformers revolutionize text understanding. Deep learning adapts to varied data and challenges.
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