MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

Computer Science

• Synthetic Data 100%
• Domains 100%
• Trained Neural Network 50%
• Application 50%
• Machine Learning 16%
• Domain Adaptation 16%
• Classification 16%
• Source Location 16%
• Biggest Challenge 16%
• Training Data 16%
• Simulation Mode 16%
• Data Application 16%
• Real Data Sets 16%
• Random Selection 16%
• Ultrasound Data 16%
• Neural Network Training 16%
• Application Data 16%
• Networks 16%
• Events 16%
• References 16%