In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks.
First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components.
Next, we turn our attention to Generative Graph Models, which enable th ... Show More
Aug 2023
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency pro ... Show More
45m 15s
Dec 2023
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
<p><strong>Sean Moriarity</strong>, creator of the Axon deep learning framework, co-creator of the Nx library, and author of <em>Machine Learning in Elixir</em> and <em>Genetic Algorithms in Elixir,</em> published by the Pragmatic Bookshelf, speaks with SE Radio host <a href= "ht ... Show More
57m 43s
<p><span style= "color: #224422; font-family: 'Lucida Bright', Georgia, serif; font-size: medium;"> My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the </span><a style= "font-family: 'Lucida Bright', Georgia, serif; font-size: medium;" href ... Show More
