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
April 24-25, 2024
6th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
Deep Learning Frameworks Conference Speakers
Recommended Sessions
- Advancement of Cybersecurity
- AI & Machine Learning in HealthCare & Medical Science
- Automated Machine Learning
- Automatic Machine Translation
- Big Data, Data Science and Data Mining
- Biometric Security Solutions
- Computer Aided Medical Diagnostics
- Computer Vision and Image Processing
- Deep Learning and Artificial Intelligence
- Deep Learning Frameworks
- Email Spam and Malware Filtering
- Internet of Things (IoT)
- Object Detection with Digits
- Online Customer Support
- Online Fraud Detection
- Pattern Recognition & Speech Recognition
- Predictive Analytics
- Robotic Process Automation (RPA)
- Self-driving cars
- Virtual Reality (VR) and Gaming
- Virtual Reality And Augmented Reality
- Voice Assistants
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