How Different is Deep Learning from Other Machine Learning Models?

Deep Learning Models and Their Variety

There are different types of Deep Learning models, according to the type of input data and the type of the network architecture:

  • Convolutional Neural Networks (ConvNets) are used for mage data.
  • Long Short Term Memory Networks (LSTMs), a special kind of Recurrent Neural Networks (RNNs), are used for learning long-term dependencies such as Time Series and Sequence Data.
  • Generative Adversarial Networks (GANs) are used in Unsupervised Learning. They can generate images from descriptions, high resolution images from low resolution images, identify images that contain a given pattern, among other things.

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