While the practical notebooks we used in 2018 were already amazing, my colleagues and I worked hard on expanding and improving them for the 2019 Indaba. In case anyone wants to check them out, here's a full list of the practicals (the links go to Google Colab notebooks)
1a: Machine Learning Fundamentals, http://bit.ly/2nfeu4W
1b: Build your own TensorFlow, http://bit.ly/2obD1rK
2a: Deep Feedforward Networks, http://bit.ly/2oQSjSQ
2b: Optimization for Deep Learning, http://bit.ly/2nqkyHB
3a: Convolutional Networks, http://bit.ly/2nqdQRX
3b: Deep Generative Models, http://bit.ly/2nnkisU
4a: Recurrent Neural Networks, http://bit.ly/2ncgYkx
4b: Reinforcement Learning, http://bit.ly/2oO4lMK
They're also available on the official github page: https://github.com/deep-learning-indaba
We'd love any feedback on the practicals to improve them for next year!
If you have some ML expertise and would like to volunteer to be a tutor at next year's Indaba, which will be held in Tunisia in late August 2020, drop me a mail at contact (at) taliesin.ai. I also encourage anyone to apply to attend as a student!