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I am doing mnist tutorial, and fully_connected_feed.py works and saves events.out.tfevents.1447186888 file to ~..\data\ when I trying to open TensorBoard like this
python ~/tensorflow/tensorflow/tensorboard/tensorboard.py --logdir=~/tensorflow/tensorflow/g3doc/tutorials/mnist/data
or like this
tensorboard --logdir=~/tensorflow/tensorflow/g3doc/tutorials/mnist/data
It opens, but then I see "No scalar summary tags were found."
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The image is scaled to a default size for easier viewing. If you want to view the unscaled original image, check "Show actual image size" at the upper left. Play with the brightness and contrast sliders to see how they affect the image pixels. Logging one tensor is great, but what if you wanted to log multiple training examples?
# Load the TensorBoard notebook extension. TensorFlow 2.x selected. "This notebook requires TensorFlow 2.0 or above." You're going to construct a simple neural network to classify images in the the Fashion-MNIST dataset. This dataset consist of 70,000 28x28 grayscale images of fashion products from 10 categories, with 7,000 images per category.
Now, use TensorBoard to examine the image. Wait a few seconds for the UI to spin up. The "Images" tab displays the image you just logged. It's an "ankle boot". The image is scaled to a default size for easier viewing. If you want to view the unscaled original image, check "Show actual image size" at the upper left.
Using the TensorFlow Image Summary API, you can easily log tensors and arbitrary images and view them in TensorBoard. This can be extremely helpful to sample and examine your input data, or to visualize layer weights and generated tensors. You can also log diagnostic data as images that can be helpful in the course of your model development.
Try to use
tensorboard --logdir=home/$USER/tensorflow/tensorflow/g3doc/tutorials/mnist/data
or
tensorboard --logdir=${PWD} in that directory
Because tensorboard checks path existence by using os.path.exists()
=
Regarding that, I would like to set alias tensorboard='tensorboard --logdir=${PWD}' for convenient
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