Capsnet accuracy problem
Aperta
- Lingua principale
- Jupyter Notebook
- Stelle
- 25.6k
- Fork
- 12.7k
- Metriche di merge delle PR
- Metriche PR in attesa
Descrizione
Hi
The Capsnet MNIST accuracy is only <10% when running on my own computer but >95% when running the same Notebook on Google Colab. According to one [issue](https://github.com/ageron/handson-ml/issues/543) the reason was in Cuda version 10.0 which was suggested to be resolved in 10.1 but I upgraded to 10.1 and the issue is still there.
Are there any more ideas what could be causing this problem?
I am running Pyton 3.7 and Tensorflow 1.15 with GPU
// Daniel
Guida per i contributori
Nessuna guida per i contributori indicizzata per questo repository
Valutazione
Questa issue non è ancora stata valutata.