podcast

What happens to a neural network trained with random data? Are massive neural networks just lookup tables or do they truly learn something?  Today’s episode will be about memorisation and generalisation in deep learning, with Stanislaw Jastrzębski from ...

In this episode I speak with Jon Krohn, author of Deeplearning Illustrated a book that makes deep learning easier to grasp.  We also talk about some important guidelines to take into account whenever you implement a deep learning model, how to deal with ...

Join the discussion on our Discord server In this episode I explain how a research group from the University of Lubeck dominated the curse of dimensionality for the generation of large medical images with GANs. The problem is not as trivial as it seems. ...

Some of the most powerful NLP models like BERT and GPT-2 have one thing in common: they all use the transformer architecture. Such architecture is built on top of another important concept already known to the community: self-attention.In this episode I ...

We have seen agents playing Atari games or Alpha Go, doing financial trading and modeling natural language. After watching reinforcement learning agents doing great in some […]

Meet Claude Shannon, the father of information age. A biography by Jimmy Soni and Rob Goodman

Join the discussion on our Discord server   In this episode, I am with Aaron Gokaslan, computer vision researcher, AI Resident at Facebook AI Research. Aaron is the author of OpenGPT-2, a parallel NLP model to the most discussed version that OpenAI d...

In this episode I have an amazing conversation with Jimmy Soni and Rob Goodman, authors of “A mind at play”, a book entirely dedicated to the life and achievements of Claude Shannon. Claude Shannon does not n...

Join the discussion on our Discord server As ML plays a more and more relevant role in many domains of everyday life, it’s quite obvious to see more and more attacks to ML systems. In this episode we talk about the most popular attacks against machine le...