Deep Learning Frameworks
Deep Learning belongs to field of Machine Learning which deals with the building blocks for designing, training and validating deep neural networks. It depends on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex. It can be able to solve more complex problems and perform greater tasks. Deep Learning Framework is a basic supporting essential structure that assists with making the unpredictability of DL little easier.
- TensorFlow
- PyTorch
- Keras
- Sonnet
- MXNet
- Gluon
Related Conference of Deep Learning Frameworks
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
October 24-25, 2024
10th World Congress on Computer Science, Machine Learning and Big Data
Zurich, Switzerland
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
Deep Learning Frameworks Conference Speakers
Recommended Sessions
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