Artificial neural networks course
This course equips you with expertise in artificial neural networks to tackle practical tech challenges. You will cover data preparation, model architecture design, hyperparameter optimisation, thorough evaluation, and ethical considerations, enabling deployment of accurate, efficient, trustworthy models for critical business applications.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills to create precise binary classifiers using artificial neural networks on real tabular data. Master loading datasets, feature engineering, selecting architectures, activations, and loss functions. Learn hyperparameter tuning, managing class imbalance, applying regularization, monitoring training, and evaluating models for reliable, ethical production deployment.
Elevify advantages
Develop skills
- Design effective binary classifiers by building, tuning, and assessing ANN models swiftly.
- Prepare tabular data through cleaning, encoding, scaling, and crafting impactful features.
- Optimise training by choosing appropriate losses, activations, regularisation, and learning rates.
- Perform hyperparameter tuning and deploy streamlined models ready for production.
- Interpret outcomes by clearly explaining metrics, calibration, and feature significance.
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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