Sarvagya Malaviya

Should the layer expect the path to the mixing set (location of the fractal dataset) as an input?

I agree, I think the label smoothing issue should be fixed. Thanks for pointing it out. As for the reduction, `keras.losses.loss` already takes in a reduction argument which is handled...

Seems to run out of memory when running on `oxford_flowers102`. I didn't get time to completely investigate it but you might want to look into it once. This may help...

@LukeWood Please see if this implementation makes sense. I will further update this PR with tests and code fixes throughout the upcoming week, followed by a RetinaNet FPN implementation. The...

> This proposal includes the specific core components for building single-stage object detection models. It does not, however, include: > > Data augmentation, such as image and groundtruth box preprocessing...

> @quantumalaviya can we revive this PR as we're ready to have FPN within KerasCV? Me and @LukeWood had a discussion about how this API might make things more complicated...

> > > @quantumalaviya can we revive this PR as we're ready to have FPN within KerasCV? > > > > > > Me and @LukeWood had a discussion about...

> Where the axis=None semantic means "all the axis". > > So what do you mean with avoid reducing over any axis? As in the loss should return without reducing...

> I think that it make more sense to create another BinaryCrossentropy like BinaryCrossentropyFocal or add an extra parameter to make the mean optional in BinaryCrossentropy instead of modifying mean....

Thanks for the amazing work @DerryHub! Seems like the Docker image link is expired. Can you share an updated link? I will recommend Google Drive in case the links on...