MVCNN-TensorFlow
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Model diverged with loss = NaN
Hi there,
I manually generated the 12 views of each airplane and bathtub png image, and train with them. But I encountered following model diverged problem.
Could someone help me out of this?
I have the same problem!
Hi... I wonder if this problem has been solved?? I have encountered the same problem...
I have solved my nan problem. My reason is that my dataset is converted from MVCNN(MATLAB code). The label in MATLAB is in range 1 and 40. So I reduced 1 on label converting it into range 0 and 39.
Thank you so much for your quick response! May I ask what the labels are? Type of objects? I am sorry...I am very new to NN... Thank you again!
yes, the label is a number to represent the name of objects in training.
Thanks a million. Really appreciate your help! I will try to change the way I feed the data and see if it works!
I have solved my nan problem. My reason is that my dataset is converted from MVCNN(MATLAB code). The label in MATLAB is in range 1 and 40. So I reduced 1 on label converting it into range 0 and 39.
Thanks a lot. I solved this by your comment. The reason is when I processed the data, I labeled the categories from 1 to 40. Changing them back to 0 to 39 fixes this problem.