What are the prerequisites?

Ideally participants will have a degree of familiarity with the programming language Python. You can access a Python self-assessment here to check if your Python skills are developed to a level where you can get the most out of the workshop.

We host Python office hours in the lead up to each workshop, allowing attendees to bring their Python skills up a notch before the workshop begins.

How many participants will there be?

Our courses are capped at a maximum of 20 participants.

What do participants need to bring?

A laptop.

The workshop is run using AWS, meaning no software installations are necessary. (Although some installations may be required for the Python office hours.) 

Why not do an online course?

Face-to-face learning is proven to have a more lasting impact than online courses. Our workshop is designed to cater for all learning styles: audio, visual and kinaesthetic. The face-to-face option also allows learners to ask questions and clarify their understanding. Most of our attendees have done online learning before, and are searching for the next level of instruction and interaction to cement their new skills. 

Why study in a workshop format?

We think one of the best ways to learn is by working through problems in a peer group, chatting over thought processes and talking things out. This is why the second day of our workshop is entirely dedicated to group projects. People work in groups of 2-3 and build a model from scratch. Indeed, both days of the workshop are exercise-based so your learning is supported by tasks designed to support and embed understanding.

Why Silverpond?

Silverpond is a deep learning consultancy, so we spend every day working on real-world deep learning projects. This experience allows us to communicate the concepts and skills necessary to apply practical deep learning in day-to-day work.

What resources are provided to the learners?

Participants receive an offline copy of all workshop content and notebooks (with answers). Instructors also provide guidance on how to set up a local deep learning environment.

Digital workbooks (Jupyter Notebooks) are also provided, giving the learner their own resourceto refer to during and after the workshops.

There are other groups underrepresented in tech, why is there no program for them?

Great question. The Women in Deep Learning workshop is our first program specifically supporting equity and diversity in the industry. We are planning to run many more in the future, to see technology created by people that represent the broader community.