How to apply gradient clipping in TensorFlow?
Considering the example code.
Considering the example code.
I have just reinstalled latest tensorflow on ubuntu:
When I install tensorflow-gpu through Conda; it gives me the following output:
I am trying to assign a new value to a tensorflow variable in python.
I would like to replace or modify the gradient of an op or portion of the graph in tensorflow. It would be ideal if I can use the existing gradient in the calculation.
I installed TensorFlow version 1.0.0-rc2 on Windows 7 SP1 x64 Ultimate (Python 3.5.2 |Anaconda custom (64-bit)) using:
I would like to use batch normalization in TensorFlow. I found the related C++ source code in core/ops/nn_ops.cc. However, I did not find it documented on tensorflow.org.
I want to use my GPU for Tensorflow.
How do I use TensorFlow GPU version instead of CPU version in Python 3.6 x64?
I haven’t seen anything about Windows compatibility — is this on the way or currently available somewhere if I put forth some effort? (I have a Mac and an Ubuntu box but the Windows machine is the one with the discrete graphics card that I currently use with theano).