Supervised: 1. Simple Artificial Neural Networks: Used for Regression and Classification 2. Convolutional Neural Networks: Used for Computer Vision 3. Recurrent Neural Networks: Used in Time Series Analysis, Natural Language Processing Unsupervised: 1. Self-Organizing Maps: Used for Feature Detection 2. Deep Boltzmann Machines: Used for Recommendation Systems 3. Auto-encoders: Used for Recommendation Systems, Outlier Detection
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Tuesday, July 7, 2020
Types of Artificial Neural Networks and their Applications
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