Keras Tutorial – Traffic Sign Recognition

[sytelus]

https://chsasank.github.io/keras-tutorial.html

[stared]

I like this example (especially as the dataset is simple, but new to me).

For something simpler, starting from very shallow networks (and expanding them step by step), I wrote "Starting deep learning hands-on: image classification on CIFAR-10" https://blog.deepsense.ai/deep-learning-hands-on-image-class....

[throwawaybbqed]

This is a nice toy application. Yay .. something other than MNIST! Is there a similar toy application for RNNs/LSTMs? I don't find the standard text generating application to be compelling. I've been looking for a simple dataset for teaching/learning purposes ... something like accelerometer or acoustic data. Haven't found a great one yet for recurrent networks.

[lovelearning → throwawaybbqed]

I enjoyed experimenting with RNNoise for real-time microphone noise suppression. I liked the write-up too [1].

[1]: https://people.xiph.org/~jm/demo/rnnoise/

EDIT: Just realized perhaps you are asking for a Keras-based example? If so, this one's not Keras or TF based.

[chsasank → throwawaybbqed]

Hey! Author here. May be you'd appreciate this: https://chsasank.github.io/spoken-language-understanding.htm...

[throwawaybbqed → chsasank]

This is neat. Thanks so much!

[kpil]

The article made me think of that it's still a long way to a adaptive classifier that could be shown one of two examples instead of thousands.

[jimnotgym]

Can we get rid of the traffic sign image captcha now machines can do it?

[tinyrick2 → jimnotgym]

You missed the point.. I think the traffic sign captchas are actually used to train machine learning models.

[bitL → jimnotgym]

Yup, just wait until somebody implements a SSD multibox plugin for captchas...