Wolfram Student Podcast S2 Ep 8: Evaluating Complexity for Neural Nets in Learning Math Functions
Welcome back to the Wolfram Student Podcast! In Season 2 Episode 8, we feature Tony Shen and his project on evaluating the impact of complexity variation in neural nets on learning math functions. Join us as we define various criteria to analyze complexity and optimize neural net complexity through different math functions!
Read more at: https://community.wolfram.com/groups/-/m/t/2963315
Listen on Spotify at: https://podcasters.spotify.com/pod/show/wolfram-student-podcast/episodes/Evaluating-Complexity-for-Neural-Nets-in-Learning-Math-Functions-e2chd2g
#wolfram #coding #math #mathematica #research #school #student #green #graphs #tree #language #computation #multiwaysystem
#mathmatics #machinelearning #complexity #computerscience
Welcome back to the Wolfram Student Podcast! In Season 2 Episode 8, we feature Tony Shen and his project on evaluating the impact of complexity variation in neural nets on learning math functions. Join us as we define various criteria to analyze complexity and optimize neural net complexity through different math functions!
Read more at: https://community.wolfram.com/groups/-/m/t/2963315
Listen on Spotify at: https://podcasters.spotify.com/pod/show/wolfram-student-podcast/episodes/Evaluating-Complexity-for-Neural-Nets-in-Learning-Math-Functions-e2chd2g
#wolfram #coding #math #mathematica #research #school #student #green #graphs #tree #language #computation #multiwaysystem
#mathmatics #machinelearning #complexity #computerscience