The Conference for Machine Learning Innovation

Programming Languages for Deep Learning

Keynote
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Friday, July 1 2022
09:00 - 09:45

Machine Learning is done in Python, right? All leading ML frameworks, such as TensorFlow and Pytorch, offer their functionality primarily in Python. This state of things is not ideal, however. There are practical problems such as the late discovery of dimensionality errors. More importantly, Python obscures the essentials of Machine Learning: The indirect programming model with graphs is difficult to understand, the focus on numerical arrays prevents generalization, the underlying algorithms are complicated and restrictive. In a powerful functional language such as Haskell, Deep Learning looks completely different: The clunky graph model disappears, as does the restriction on numerical arrays. Instead, the essentials become visible – functions and their properties, optimization and differentiation. Moreover, this approach generates efficient code, even without elaborate C++-based graph machinerie. 

This talk will give an overview of the approach and its way of thinking.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks