In this article Overview of deep learning's significance in classification tasks. CNNs Best for image classification; excels in feature extraction. RNNs Suitable for sequential data; struggles with long sequences. LSTMs  Improved RNNs for long-range dependencies; computationally heavy. Transformers Advanced architecture for NLP; highly scalable and powerful. Importance of algorithm selection tailored to specific data and tasks.

Deep Learning, Classification, CNN (Convolutional Neural Networks)

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