Building ConvNets on MNIST dataset by TensorFlow with the new WIN10 GPU Monitor

A few days ago, I updated my  Windows 10 to version 1709 and found out that Microsoft added the GPU monitor in the Task Manager which I thought is awesome for ML developers and researchers.

Here is a screen capture of the official MNIST codes running Tensorflow-GPU on my Desktop.  It is clear to see that the GTX 960 uses about 3.5GB memory out of 4.0GB to train the ConvNets, which is much faster than the CPU computing.

Capture

You can find more models from the TensorFlow Models. This repository contains a number of different models implemented in TensorFlow.

 

Author: Caihao (Chris) Cui

Data Scientist and Machine Learning Expert: Translating modern machine learning and computer vision techniques into engineering and bringing ideas to life to design a better future.

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