The latest open sourced tool from Facebook AI Research is Pythia, a deep learning framework designed to help with Visual Question Answering. It is built on top of the PyTorch framework and offers a modular design for building AI models. Take a peek at the research involved.
We’ve got another one to add to the impressive stack of deep learning uses. Spektral is for deep learning on graphs and uses the Keras API. While the project is still in progress, this Ph.D. worthy framework built in Python has everything you need for building graph neural networks.
Uber strikes back with the open sourcing another tool! This time, we take a look at Ludwig, is a toolbox that makes deep learning easier to understand for non-experts and faster for experts as well as researchers.
What is word2vec? This neural network algorithm has a number of interesting use cases, especially for search. In this excerpt from Deep Learning for Search, Tommaso Teofili explains how you can use word2vec to map datasets with neural networks.
Deep learning is always among the hottest topics and TensorFlow is one of the most popular frameworks out there. In this session, Khanderao Kand goes through some deep learning concepts in general and TensorFlow and Apache Spark in specific.
The field of artificial intelligence has shown tremendous progress in the past decade. But there’s more to AI than chess-playing robots. Mat Leonard, the Head of Udacity’s School of AI, explains how the history of deep learning is the history of a programming revolution. Are you ready for Software 2.0?
Just off a stint at Baidu’s AI Group, Andrew Ng is here to bring artificial intelligence to the masses. Deeplearning.ai and Coursera are teaming up to bring a new sequence of online classes to help you learn to code AI.
