Working with tensorflow and pytorch in one script, this approach help me to disable cuda on tensorflow but still make the pytorch use cuda. I believe this answer deserved more votes.

However, when I substituted either tensorflow-cpu or tensorflow-gpu (depending upon which one is appropriate for you) then the code was suddenly able to find tensorflow.

October 2020 update: Tensorflow now supports Python 3.5.x through Python 3.8.x, but you still have to use a 64-bit version. If you need to run multiple versions of Python on the same …

For example, TensorFlow 2.10.0-gpu may have constraints that limit its compatibility with Python versions, such as Python 3.11. To address this issue, it is recommended to ensure that you …

1 I had the same issue running a python file named tensorflow.py, after renaming it the issue dissapeared and the file started running properly.

Looking at the existing answers, we find both conda install tensorflow and pip install tensorflow. Furthermore, "look on youtube" is about as good an advice as "just google it".

SFOM00618927A:dl i854319$ source activate tensorflow (tensorflow) SFOM00618927A:dl i854319$ jupyter notebook It opens up a new notebook in the browser. But when I just import …

49 I am new to tensorflow. I want to write my own custom loss function. Is there any tutorial about this? For example, the hinge loss or a sum_of_square_loss (though this is already in tf)? Can I …

The difference between tf.keras and keras is the Tensorflow specific enhancement to the framework. keras is an API specification that describes how a Deep Learning framework …

Jul 6, 2016 · I was able to load tensorflow in Jupyter notebook on Windows by: first do conda create tensorflow install, then activate tensorflow at the command prompt , then execute …