Tags / education

• DLI: "Array Algebra" NumPy practical for the Deep Learning Indaba in Tunisia For the 2022 Deep Learning Indaba (held in Tunis), I contributed a practical entitled “Array Algebra”. The goal was to equip students with a better understanding of multidimensional arrays of various order, since array manipulation is the bread and butter of programming deep learning architectures. […] I used 2D and 3D illustrations of the fundamental operations of slicing, aggregation, and transposition, with a particular focus on manipulating image arrays as these illustrate …

• DLI: "Build Your Own TensorFlow" TensorFlow practicals for the Deep Learning Indaba in Kenya For the 2019 Deep Learning Indaba (held in Nairobi, Kenya), I was privileged to co-organize the tutorial sessions with Jamie Allingham, with the extensive help and support of Avishkar Boopchand, Stephan Gouws, and Ulrich Paquet of DeepMind. We had more than 50 tutors this year, covering more 500 students across 2 parallel sessions each day. Our goal for this year was to expand the range of material that the tutorials covered, to address pain points we saw in previous years, and to further …
• Wasserstein GAN DFL contributed to Depth First Learning course on Wasserstein GANs While tutoring at the 2019 Deep Learning Indaba, I got to know the multi-talented Cinjon Resnik, who is currently doing his PhD with Kyunghyun Cho at NYU. After the Indaba, Cinjon invited me to join an experiment he is running in distributed teaching and learning called Depth First Learning. One innovation that particularly resonated with me was the effort DFL makes to plot a path through “paper space”, as a way to explain a core idea or story. The story we chose as the backbone for …