Jan 6Deep Learning Is Not Just Inadequate for Solving AGI, It Is Useless3.2K93Rebel ScienceIt seems that what you are saying is that current DL architectures are not efficient, and that…It seems that what you are saying is that current DL architectures are not efficient, and that similar performances could be achieved with less parameters (or neurons). You compare it to biological brains, which are insane learners but still has some pre-wired architectures that are optimized for the real world. …1 min read1 min read
Nov 22, 2022ML Challenges: result submission VS code submissionMany competitions are organized each year on platforms such as Kaggle, CodaLab Competitions or EvalAI. Some allow you to upload your model’s predictions, while others allow you to upload directly your model’s code to have it trained and tested on the platform. Which one is better? What should you do…Challenge3 min readChallenge3 min read
Published in Towards Data Science·Nov 12, 2020How to create your first competition on CodalabIt’s free and easy! — Organizing a challenge allows you to crowd-source the most difficult machine learning problems. It is also an excellent way to learn data science. This short hands-on tutorial will give you everything you need to create your first competition — as early as today! Why Codalab? Codalab is an open-source web platform hosting…Competition5 min readCompetition5 min read
Published in Towards Data Science·Nov 10, 2020Designing a data science competition is an excellent way to learnWe got students to create ML challenges and this is what they learned — Over the past few years, we have explored the benefits of involving students both in organizing and in participating in challenges as a pedagogical tool, as part of an international collaboration. Engaging in the design and resolution of a competition can be seen as a hands-on means of learning proper…Machine Learning6 min readMachine Learning6 min read
