Skip to content

value nan in loss #42

@lunaprof19

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

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