Deep networks are neural networks with multiple hidden layers that enable learning complex patterns from large datasets. They form the

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Recurrent Neural Networks (RNNs) are a class of neural networks designed to process sequential data by maintaining a memory of

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Convolutional Neural Networks (CNNs) are deep learning models designed to process grid-like data such as images by applying convolutional filters

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  Model evaluation is the process of assessing how well a machine learning or deep learning model performs on unseen

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Autoencoders are neural networks that learn to compress input data into a lower-dimensional representation and then reconstruct it back, useful

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Deep Networks are neural networks with multiple layers between input and output, allowing them to model complex patterns in data.

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