Deep Learning Basics
- PyTorch or TensorFlow (choose one)
- Gradient descent & backpropagation
- Neural networks: layers, activations, initialisation
- Regularisation: dropout, weight decay, early stopping
- Loss functions & optimisers
In-company and fully customised. From fundamentals to modern architectures — delivered with rigorous intuition, clean code and hands-on labs.
Deep learning powers today’s state-of-the-art systems in language, vision, time series, graphs and decision-making. We teach your team how to reason about architectures, train models responsibly, and ship results you can defend.
Depth and pace are tailored to your team. Start with the essentials; extend into specialisations as needed.
Pricing: Single team price. For scheduling and an invoice, please contact us.
Rick Vink holds a Master’s in Physics and has been dedicated to teaching Data Science and Machine Learning full-time for over 8 years.
While his primary passion has been empowering the next generation of data scientists, he has also shaped industry practices by training countless professionals.
He brings a unique blend of deep theoretical knowledge and practical teaching experience, making complex concepts accessible, engaging and directly applicable in your work.

Tell us about your team, data and goals. We’ll confirm dates and send an invoice.