Workshop: Applications of Machine Learning and AI in Heat Transfer Research, Thermal Management and Energy Conversion
Description:
- Statistics and Machine Learning Toolbox: Explore and understand data, build predictive models for classification and regression, model assessment & explainability
- Deep Learning Toolbox: Design, train, analyze, and simulate deep neural networks, Explainability, verification, and compression workflows, Interoperability with external frameworks (PyTorch / TensorFlow / ONNX)
- Parallel Computing Toolbox: Speed up compute- and data-intensive work using multicore CPUs, GPUs, and clusters, without requiring CUDA or MPI programming
- App-based tools: Classification Learner, Regression Learner, Deep Network Designer, Experiment Manager
- Examples of integrating AI/ML models for system modeling and control in Simulink
Cost: $25