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
October 28-29, 2025
8th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 27-28, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
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11th World congress on Big Data, Computer science, Analytics and Data Mining
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December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
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24th International Conference on Big Data & Data Analytics
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December 15-16, 2025
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Amsterdam, Netherlands
December 17-18, 2025
7th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
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12th Global Meet on Wireless and Satellite Communications
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Deep Learning Conference Speakers
Recommended Sessions
- AI & Machine Learning in HealthCare & Medical Science
- Artificial Intelligence
- Artificial Neural Networks (ANN)
- Big Data Analytics
- Big Data, Data Science and Data Mining
- Cloud Computing
- Computer Vision and Image Processing
- Deep Learning
- 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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