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About An Introduction To Deep Learning: Understanding The Basics of How (And Why) It Works
Deep learning is a subset of machine learning that uses multiple layers of representations to allow computers to learn from data. It works by building complex patterns from inputs through a hierarchy of increasing abstraction, like how humans learn. While deep learning can solve complex problems, it requires large labeled datasets and the decisions are not interpretable by humans. This guidebook provides an introduction to deep learning concepts like neural networks and real-world applications.
Detailed Information
| Author: | ['jombangsekarang'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 32 |
| Language: | English |
| Format: | |
| Price: | FREE |
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