Linked Questions

I understand that when installing tensorflow, you either install the GPU or CPU version. How can I check which one is installed (I use linux). If the GPU version is installed, would it be ...

I have installed tensorflow in my ubuntu 16.04 using the second answer here with ubuntu's builtin apt cuda installation. Now my question is how can I test if tensorflow is really using gpu? I have a ...

I have a plan to use distributed TensorFlow, and I saw TensorFlow can use GPUs for training and testing. In a cluster environment, each machine could have 0 or 1 or more GPUs, and I want to run my ...

I installed CUDA v9.2 and corresponding cuDNN manually to install tensorflow gpu But I realized that tensorflow 1.8.0 requires CUDA 9.0 so I ran pip install tensorflow-gpu from the anaconda prompt (...

My computer has the following software installed: Anaconda (3), TensorFlow (GPU), and Keras. There are two Anaconda virtual environments - one with TensorFlow for Python 2.7 and one for 3.5, both GPU ...

I've created virtual notebook on Paperspace cloud infrastructure with Tensorflow GPU P5000 virtual instance on the backend. When i am starting to train my network, it woks 2x SLOWER than on my MacBook ...

I just installed two Nvidia K2200 GPU's, CUDA software, and CuDNN software on my Windows 10 computer. I went to check if everything is working well by following this Stack Overflow answer but I got a ...

I'm quite new in deep learning and, in order to improve my knowledge, I've been reading some books and following a video course on line. In this videocourse I have to do an exercise with convolution ...

Following an answer from SO, I have run: # confirm TensorFlow sees the GPU from tensorflow.python.client import device_lib assert 'GPU' in str(device_lib.list_local_devices()) # confirm Keras sees ...

I tried with How do I check if keras is using gpu version of tensorflow? answer. But I recognized only keras doesn't see GPU. I re-installed whole requirements including tensorflow-gpu, keras module, ...

I know there have been multiple different posts regarding this matter, but it seems every time a new keras / tensorflow version is released, there's conflict with package versions and inevtibly the ...

I'm a newbie in keras tensorflow and python. Network structure :Resnet50(with imagenet weight, all layers freezed) + 2 Bi-LSTM with 256 units Number of images : 624000 Image size : 224x224x3 Batch ...