Shaowu Pan
Shaowu Pan
Just one simple question: `for i in xrange(gpu_count):` ` with tf.device('/gpu:%d' % i):` ` with tf.name_scope('tower_%d' % i) as scope:` Is the first line running in GPU or CPU? If...
thanks Marc :)
actually if one just simply want the coefficient parameter. I think it is faster and much, much much more clean to use the tensorflow save model API.
I figured this out. The problem is after each epoch, I want to evaluate the performance by calling *ed.evaluate* Everytime I call it, it might add new Node in to...
the complete logic is: 1. if the input is only x, so 1D, then the input layer should be W~uniform (-1,1). 2. however, if you do that, you will find...
could you please provide the data as well so maybe I can replicate this issue?
Interesting. I didn't see that one coming. Indeed, I am using 3.10 for development. I will add that requirement in the installation section. Thanks