Artificial neural networks course
This course equips you with comprehensive skills in artificial neural networks for tackling real-world technical challenges. Delve into data preparation, model architecture design, hyperparameter optimisation, thorough evaluation, and ethical considerations to deliver accurate, efficient, and dependable models that drive impactful business outcomes in production environments.
4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain expertise in constructing precise binary classifiers using artificial neural networks on real-world tabular datasets. Master data loading from CSVs, feature engineering, architecture selection, activations, loss functions, hyperparameter tuning, class imbalance management, regularisation techniques, training monitoring, model evaluation, interpretation, calibration, and deployment for reliable, ethical production use.
Elevify Advantages
Develop Skills
- Design effective binary classifiers by building, tuning, and evaluating ANN models efficiently.
- Prepare tabular data through cleaning, encoding, scaling, and engineering impactful features.
- Optimise training processes with appropriate loss functions, activations, regularisation, and learning rates.
- Perform hyperparameter tuning and deploy streamlined models ready for production.
- Interpret model outcomes by explaining key metrics, calibration, and feature importance clearly.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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