Answered: What are the main branches of Deep Learning algorithms?

Mon, 25 Feb 2019 14:00:34 +0000

Deep learning algorithms can be segregated into four different branches based on their area of research and application:

General deep learning algorithms: Densely-connected layers or fully-connected networks

Sequence models: Recurrent Neural Networks (RNN), Long Short Term Memory (LSTM) Networks, Gated Recurrent Units, etc

Spatial data models: Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN)

Other algorithms: Unsupervised Learning, Reinforcement Learning (RL), Sparse Encoding, etc

Answered: What is the difference between machine learning and deep learning?

Tue, 30 Oct 2018 11:45:39 +0000

Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own. Deep learning is a subfield of machine learning

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Answered: What are the main branches of Deep Learning algorithms?

Answered: What is the difference between machine learning and deep learning?