Intelligent Systems
Deep learning allows the computer to build complex concepts out of simpler concepts. Deep learning system can represent the concept of an image of a person by combining simpler concepts, such as corners and contours, which are in turn defined in terms of edges. The idea of learning the right representation for the data provides one perspective on deep learning. Another perspective on deep learning is that depth allows the computer to learn a multi-step computer program. Each layer of the representation can be thought of as the state of the computer’s memory after executing another set of instructions in parallel. Networks with greater depth can execute more instructions in sequence. Deep learning is a specific kind of machine learning.
- Ambient Intelligence
- Artificial Intelligence
- Brain Modeling and Simulation
- Computational Intelligence
- Deep Learning
- Neural Networks and Neuro-Fuzzy Systems
- Intelligent Control
- Intelligent Medical Diagnostics
- Intelligent Networks
- Probabilistic Reasoning
- Swarm Intelligence
Related Conference of Intelligent Systems
6th Annual Summit on Satellite and Space Communication Technology
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th International Conference and Expo on Computer Graphics & Animation
Intelligent Systems Conference Speakers
Recommended Sessions
Related Journals
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