guillaume-chevalier / LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MIT License
3.35k stars 938 forks source link

How to know the values of all kind of weights #29

Open bacondanbin opened 5 years ago

bacondanbin commented 5 years ago

Hello, I am really impressed by your work. But I have met some issues. I used the tf.saver to get all the ops and save the model. However, I printed it out all the tf.global_variables but couldn't know each of the individual array means. Is there a way that I can know the detail variables that I saved.