Talk Julia
Talk Julia
Mar 5, 2022
Episode 10: Deep Neural Networks in Julia with Flux.jl
Play โ€ข 37 min

David and Randy explore deep neural networks in Julia using Flux.jl by recreating Grant Sanderson's model for predicting handwritten digits in the MNIST data set. We also show how to visualize model results and training performance in TensorBoard using the TensorBoardLogging.jl package.

Support Talk Julia on Ko-Fi

We're excited to announce that we have opened up podcast memberships! Become a member for as little as $5/mo to get early access to episodes, social media shoutouts, and, starting at $10/mo and up, access to a members-only "office hours" call.

Your support helps us continue to bring you interviews and educational Julia content each week. It also helps us grow sustainably and improve the quality of the podcast.

Become a member today ๐Ÿ‘‰

Manning Publications Discount

We've partnered with Manning Publications to bring all of our listeners a special 35% discount code on all of Mannings physical books, ebooks, courses, and more. There's no expiration date and you can use the discount as many times as you like!

Just visit and use the code podtalkjulia22 at checkout to get 35% off of your order!


More episodes
Clear search
Close search
Google apps
Main menu