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Deep Learning

Deep Learning refers to Artificial Neural Networks with multiple hidden layers of graph nodes, such as depicted in the illustration below:

Deep Learning Artificial Neural Networks have important characteristics for Machine Learning, including the ability to:

• model complex non-linear relationships

• achieve high levels of prediction accuracy

• apply to supervised learning and unsupervised learning models

For details on Deep Learning models, see the Artificial Neural Networks page.

Deep learning network architectures include:

• fully connected networks,

• recurrent neural networks

• convolutional neural networks

• generative adversarial networks

• transformer neural networks

References

• Google Scholar Search

• Web Search

• Wikipedia Article

• YouTube Search