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artificial neural networks course

artificial neural networks course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Dive into building precise binary classifiers for tabular data using artificial neural networks. Master data loading, feature engineering, architecture selection, activations, loss functions, hyperparameter tuning, class imbalance handling, regularisation, training monitoring, 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 feature engineering for optimal performance.
  • Optimise training processes with ideal loss functions, activations, regularisation, and learning rates.
  • Perform hyperparameter tuning and deploy streamlined models ready for production environments.
  • Interpret model outcomes using clear metrics, calibration methods, and feature importance analysis.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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