Transformers are a powerful deep learning technique for processing sequential data, best known for their use in natural language processing.
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Convolutional autoencoders are a powerful deep learning technique for compressing and reconstructing image data.
CNNs are a great tool for image processing, as the number of parameters doesn't increase drastically as input size increases.
Neural networks are the most important architecture in machine learning and are key in understanding more complex techniques.
The perceptron algorithm is a fundamental concept in machine learning and serves as a key inspiration for the development of neural networks.
