How to use GPU of MX150 with Tensorflow 1.8 CUDA 9.2 (Phase 4: Installation GPU Tensorflow package and execution of the first neural network in python program execution)
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In the serie, “How to use GPU with Tensorflow 1.8 and CUDA 9.2”, we are now in the final phase. This step focusses on the installation of GPU Tensorflow 1.8 and the execution of a python program based on the .
The compilation of Tensorflow is not simple. So, I recommend to reserve around 2 hours to make this task. The compilation of the software is structured into 4 steps:
- Step 1: Installation of the wheel package created in the previous phase and the keras library.
- Step 2: Creation of the python program using the Keras library (with the configuration of Tensorflow backend).
- Step 3: Execution of the program and confirmation that the CUDA cores of the graphical card.