Artificial neural networks course
This course equips you with comprehensive skills in artificial neural networks tailored for real-world applications. Delve into data preparation, model architecture design, hyperparameter optimisation, rigorous evaluation, interpretability techniques, and ethical considerations to deliver accurate, efficient, and dependable models that drive impactful business outcomes in dynamic tech environments.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in constructing precise binary classifiers using artificial neural networks on practical tabular datasets. Master data loading from CSVs, feature engineering, architecture selection, activations, loss functions, hyperparameter tuning, class imbalance management, regularization, training oversight, model evaluation, interpretation, calibration, and deployment for ethical, production-ready 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 creating high-value features.
- Optimise training processes with ideal losses, activations, regularisation, and learning rates.
- Conduct hyperparameter tuning and deploy streamlined models for production environments.
- Interpret model outcomes, including metrics, calibration, and feature importance with clarity.
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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