Protein function prediction by neural networks - Cambridge ML Summit ‘19
David Belanger, Google AI, talks about machine learning on proteins and relating protein sequences directly to their functions.
Google Developers ML Summit '19 brings together industry professionals in Machine Learning and Artificial Intelligence. If you already work in the ML/AI field, and you are interested in enhancing your skills, while networking and learning from Google's ML/AI experts, this Summit is for you.
Cambridge ML Summit 2019 → https://goo.gle/2nE7Vcf
Subscribe to Google Developers → https://goo.gle/developers
Видео Protein function prediction by neural networks - Cambridge ML Summit ‘19 канала Google Developers
Google Developers ML Summit '19 brings together industry professionals in Machine Learning and Artificial Intelligence. If you already work in the ML/AI field, and you are interested in enhancing your skills, while networking and learning from Google's ML/AI experts, this Summit is for you.
Cambridge ML Summit 2019 → https://goo.gle/2nE7Vcf
Subscribe to Google Developers → https://goo.gle/developers
Видео Protein function prediction by neural networks - Cambridge ML Summit ‘19 канала Google Developers
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
"Machine Learning for Proteins" by Lucy Colwell
AlphaFold: improved protein structure prediction using potentials from deep learning
Bioinformatics Methods in Identification Protein Function | Domains |Trans-membrane etc.,
But what is a Neural Network? | Deep learning, chapter 1
The protein folding problem: a major conundrum of science: Ken Dill at TEDxSBU
Protein Function Prediction using Graph Convolutional... - Vladimir Gligorijevic - ISCBacademy
Illustrated Guide to Transformers Neural Network: A step by step explanation
Learning the Structure of Graph Neural Networks | Mathias Niepert | heidelberg.ai
Neural Networks (Part 2) - Training
Better Medicine Through Machine Learning | Suchi Saria | TEDxBoston![AlphaFold: Improved protein structure prediction [...]| AI & Molecular World | Andrew Senior](https://i.ytimg.com/vi/HRqf76ULlCU/default.jpg)
AlphaFold: Improved protein structure prediction [...]| AI & Molecular World | Andrew Senior
A friendly introduction to Recurrent Neural Networks
Jennifer Listgarten: "CRISPR Gene Editing with Machine Learning"
DNA Sequencing Classifier using Machine Learning
AlphaFold: The making of a scientific breakthrough
Introducing convolutional neural networks (ML Zero to Hero - Part 3)
Deep Learning for Gene Expression - Gracelyn Shi - at #AIGeeks
MIA and CC&E Joint Seminar: Michael Bronstein, Geometric deep learning for function protein design
DeepMind solves protein folding | AlphaFold 2
TensorFlow model optimization: Quantization and pruning (TF World '19)