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About Deep Learning Techniques: An Overview: January 2021
The document discusses deep learning techniques and provides an overview of the evolution and approaches of deep learning. It describes how deep learning models have evolved over time from traditional artificial neural networks to modern deep learning architectures. The document also discusses different deep learning approaches including supervised learning, unsupervised learning, reinforcement learning, and hybrid learning. It then describes several fundamental deep learning architectures such as unsupervised pre-trained networks, convolutional neural networks, recurrent neural networks, and recursive neural networks.
Detailed Information
| Author: | ['Anonymous 9qlmzmlqxw'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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