Neural network applications w/ Ersatz + beer

After a bit of a hiatus, SF Neural Network Aficionados is back!

This time, I'm going to be showing everyone how to use neural nets in actual applications. I will demonstrate this using the Ersatz API (Ersatz is the neural network PaaS product my company has been working on for a while) These methods will be broadly applicable to any NN architecture/product/package/whatever you might want to use, so feel free to replace Ersatz with your NN solution of choice.

The main things I'll be focusing on are the practical aspects of what kinds of problems you can solve using neural networks, along with how to get your data setup as "inputs" and what to do with the "outputs" you get back from your NN. I'll also show you how to diagnose and remedy training issues, such as exploding gradients or overfitting.

I'm hosting at a new location this time--about a block away at Nextspace instead of Wework.

Also, if anyone would like to speak at a future meetup, or if you have anything in particular you'd like me to try to cover, please let me know.

Looking forward to seeing you all again and hearing about the latest work you've been doing with NNs.