This course goes beyond neural networks. Instead, it covers topics that are crucial for a professional career in Deep Learning. Just to name a few: Best practices for implementing neural network models, data-preprocessing, efficiency, GPU-Training, model evaluation, deployment of the models to production etc.

Vitali Rudi, Industrial Engineer

The best thing for me personally was to see the different steps of a typical deep learning project and how to approach these steps in practice. I'm now more confident about taking part in a project myself and solving problems with neural networks.

Adile Kilic, Economical Engineer