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About Data Science RR Itec-Deep Learning
This document provides an overview of deep learning techniques: 1. Deep learning uses neural network architectures to teach computers by example, with many using multiple hidden layers of neurons ("deep" networks). 2. Deep learning models are trained on large labeled datasets to learn features directly from the data without manual feature extraction. 3. Deep learning has applications in industries like automated driving, medical research, and industrial automation by using neural networks to identify objects, detect cancer cells, and ensure worker safety.
Detailed Information
| Author: | ['Dr. Ramu Kuchipudi Associate Professor (Contract)'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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