Sure! Here is a list of the most popular deep learning algorithms sorted by simplicity, from simplest to most complex:

    Linear Regression
    Logistic Regression
    Multilayer Perceptron (MLP)
    Convolutional Neural Networks (CNN)
    Recurrent Neural Networks (RNN)
    Long Short-Term Memory (LSTM)
    Autoencoders
    Generative Adversarial Networks (GAN)
    Deep Reinforcement Learning

Please note that the definition of "simplicity" can vary, and some people may have different opinions on the relative simplicity of these algorithms. However, in general, the algorithms listed above can be considered to be ordered from simplest to most complex based on their architecture, training process, and the types of tasks they can perform.
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