Deep Learning
Deep Learning is a subset of Machine Learning which deals with deep neural networks. It is based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations.
There are 4 major types of Deep Learning:
- Unsupervised pretrained networks (UPNs)
- Convolutional neural networks (CNNs)
- Recurrent neural networks
- Recursive neural networks
Related Conference of Deep Learning
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
December 09-10, 2024
11th International Conference on Data Science and Machine Learning Applications
Dubai, UAE
July 28-29, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Vancouver, Canada
Deep Learning Conference Speakers
Recommended Sessions
- AI & Machine Learning in HealthCare & Medical Science
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- Cloud Computing
- Computer Vision and Image Processing
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- Deep Learning Frameworks
- Facial Expression and Emotion Detection
- Internet of Things (IoT)
- Machine Learning
- Natural Language Processing (NLP) and Speech Recognition
- Pattern Recognition
- Predictive Analytics
- Robotic Process Automation (RPA)
- Virtual Reality And Augmented Reality
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