Skip to content

value nan in loss #42

Description

@lunaprof19

Hi!

I change lines in driving_data.py for version compatibility:

-#x_out.append(scipy.misc.imresize(scipy.misc.imread(train_xs[(train_batch_pointer + i) % num_train_images])[-150:], [66, 200]) / 255.0)

+imagen=imageio.imread(train_xs[(train_batch_pointer + i) % num_train_images])
+retamaño2=numpy.array(Image.fromarray(imagen[-150:]).resize([200, 66]))/255
+x_out.append(retamaño2)

But when execute show Loss=nan for all epochs ->Epoch: 0, Step: 0, Loss: nan

Can you help me?
thanks

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions