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About Deep Belief Network
A deep belief network (DBN) is a type of deep neural network composed of multiple hidden layers that can learn representations of data in an unsupervised manner. It can be trained layer by layer using techniques like restricted Boltzmann machines to learn probabilistic models of its input. After this pre-training, it can then be fine-tuned with supervision for classification tasks. DBNs provide an effective deep learning technique for applications like computer vision, natural language processing, and bioinformatics.
Detailed Information
| Author: | ['john949'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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