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Hi,
Thanks for putting this up on github. It got me started with tensorflow.
However some comments;
I think the dataset shows a lot of underfitting. I get a validation score of 0.5 at end, or even below.
I connected tensorboard and the learning graph shows classic underfitting signs (straight learning rate).
Perhaps it doesn't help that the images have wide ranging aspect ratios?
I tried to insert horizontal flipped images as well, but it doesn't help that much.
The text was updated successfully, but these errors were encountered:
Hello,
I am training neural network using this code (cv-tricks.com-master\cv-tricks.com-master\Tensorflow-tutorials\tutorial-2-image-classifier\train) on my own data set of road traffic signs in which i have left and right road signs. I have changed the directory as follows:
when i run this code it gives this kind of out put and error:
Number of files in Training-set: 0
Number of files in Validation-set: 0
error is:
assert batch_size <= self._num_examples
Hi,
Thanks for putting this up on github. It got me started with tensorflow.
However some comments;
I think the dataset shows a lot of underfitting. I get a validation score of 0.5 at end, or even below.
I connected tensorboard and the learning graph shows classic underfitting signs (straight learning rate).
Perhaps it doesn't help that the images have wide ranging aspect ratios?
I tried to insert horizontal flipped images as well, but it doesn't help that much.
The text was updated successfully, but these errors were encountered: