Скачать или смотреть CNN vs RNN vs LSTM | Neural Networks Explained

CNN (Convolutional Neural Network): CNNs are primarily used for image and video recognition, leveraging convolutional layers to automatically detect patterns and features in data.
RNN (Recurrent Neural Network): RNNs are designed for sequential data like time series or text, utilizing feedback loops to retain memory of previous inputs for better context understanding.
LSTM (Long Short-Term Memory): LSTMs are a special type of RNN capable of learning long-term dependencies, solving the issue of vanishing gradients in standard RNNs by retaining information for longer periods.

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