Practical Deep Learning for Coders – Nürnberg + Zoom – Part 1
- Course is free and open to anyone!
- Requires Python knowledge
- Time commitment – 90 minutes a week – 8 weeks
Course structure
This course will follow Fastai’s 2022 edition of Practical Deep Learning for Coders. The course follows a top down project first approach to teaching and applying machine learning concepts. By the end of the course you will have your very own machine learning project applied to an area of interest to you
Basic Python knowledge is a requirement for this course. If you are interested in learning basic Python concepts there are many online resources such as Free Code Camp that can help learn Python.
I will be following the Fastai syllabus, explaining the concepts coming up in the lessons myself, and helping you with your project to make sure you build something. I will try my best to empower you to build a project.
The course requires a biweekly commitment of 90 minutes. In the first lesson I will explain how the interactive course environment, Jupyter Notebooks. You don’t need prior experience with Jupyter Notebooks. This environment will allow you to tweak the materials you are studying and apply them to your own domain.
My background in machine learning
I have spent 6 years working in Natural Language Processing (NLP) across pharma, complaints, and other sectors. For the last 1.5 year I have been working on my own startup Comtura, where I lead machine learning. Comtura is on a mission to help sales teams sell more by using your customer’s voice in your sales processes. I have also spent a year in the past developing a crop disease detection system using deep learning computer vision systems though my main expertise is NLP. I used to run an intro to NLP course in London pre-pandemic and really enjoy empowering people to build ML solutions.
Course locations
I am grateful to Coworking Nürnberg for allowing me to use their Meetup slots for lesson 1., 2., 3., 5. Shout out to Codecamp:N for allowing me to use their event space for the 4th lesson!
Course registration
Registration is free of charge. Please register here or email me to register. To email me [First letter of First Name][Surname]@outlook.com or message me on LinkedIn
Course setup guide
To setup your Gradio environment for the course follow this guide.
| Time | Location | Lesson | Slides | Zoom links |
|---|---|---|---|---|
| 13/10 19:00-21:00 | Coworking Nürnberg | 1. Getting started – Intro to course structure | Lesson 1 slides | Zoom room |
| 27/10 19:00-21:00 | Coworking Nürnberg | 2. Deploy your own model | Zoom room | |
| 10/11 19:00-21:00 | Coworking Nürnberg | 3. Neural net foundations | Zoom room | |
| 17/11 19:00-21:00 | CodeCamp:N | 4. Natural Language Processing (NLP) | Zoom room | |
| 24/11 19:00-21:00 | Coworking Nürnberg | 5. From-scratch model | Zoom room |