tensorflow - Loss function (and encoding?) for angles - Cross Validated
I'm training a network to predict the angle of arrival of a signal. Labels are single values in the [-180, 180) interval. I'm seeing a discontinuity in predictions around ±180 degrees, which makes...
tensorflow - Loss function (and encoding?) for angles - Cross Validated Stack Internal Knowledge at work Bring the best of human thought and AI automation together at your work. Explore Stack Internal Loss function (and encoding?) for angles Ask Question Asked 6 years, 10 months ago Modified 5 years, 5 months ago Viewed 7k times 11 $\begingroup$ I'm training a network to predict the angle of arrival of a signal. Labels are single values in the [-180, 180) interval. I'm seeing a discontinuity in predictions around ±180 degrees, which makes sense as losses around that gap are incorrectly calcula
related reading
- What is the difference between a loss function and an error function? - Cross Validatedstats.stackexchange.com
- python - How to correct unstable loss and accuracy during training? - Stack Overflowstackoverflow.com
- Some Math behind Neural Tangent Kernel | Lil'Loglilianweng.github.io
- How to use K-fold Cross Validation with TensorFlow 2 and Keras? | MachineCurve.commachinecurve.com
- Maybe I was too harsh on deep learning theory (three days ago) — LessWronglesswrong.com
- Tensor-Transformer Variants are Surprisingly Performant — LessWronglesswrong.com
- Understanding the Neural Tangent Kernel – EigenTaleseigentales.com
- Investigating the learning coefficient of modular addition: hackathon project — LessWronglesswrong.com
- CS231n Deep Learning for Computer Visioncs231n.github.io
- [2605.01172] A Theory of Generalization in Deep Learningarxiv.org
- Your Softmax Is Broken. Here's the Fix.youtube.com
- CS231n Deep Learning for Computer Visioncs231n.github.io