Francois Chollet
where else to find them
what they talk about
where they keep going back
- Google I/O2 editions2021–2022
on a stage with
- Martin Gorneronce
who talks about the same things
- Martin Gorner14 talks
- Aleksander Molak6 talks
- Rodrigo Agundez2 talks
- Kashif Rasul3 talks
- Alessandro Giusti3 talks
- Stephanie Kim3 talks
| title | conference | date |
|---|---|---|
| Easier data processing with Keras | Google I/O 2022 | 2022-05-11 |
Shows how the Keras Preprocessing Layers API turns raw text files (positive/negative IMDb folders) into deployable models by: using text vectorization to… | ||
| Modern Keras Design Patterns | Google I/O 2021 | 2021-05-18 |
Builds a variational autoencoder in Keras and shows the concrete changes needed: adds a sampling layer that returns z sampled from z_mean and z_log_var, uses… | ||
| Interview | AI By the Bay 2017 | 2017-03-06 |
Argues that current wins are concrete pattern‑matching systems — computer vision for object recognition and speech recognition — enabled by deep learning, but… | ||
| Advances in Deep Learning for Mathematical Theorem Proving | AI By the Bay 2017 | 2017-03-06 |
Google project augments a brute‑force ATP called improver with deep learning to rank axioms and guide proof search, using the Mizar (58k statements) corpus. A… | ||
| nothing matches | ||