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
August 10-11, 2026
12th World Congress on Computer Science, Machine Learning and Big Data
London, UK
October 22-23, 2026
6th International Conference on Renewable Energy and Resources
Vancouver, Canada
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 09-10, 2026
25th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
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
Related Journals
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