Kaan Bıçakcı
Kaan Bıçakcı
Hi @csuter, is there any chance that you can take a look at this tiny PR? Thanks.
> This is something that would make more sense in the `softmax` op, actually. Just check if `ops.shape[axis] == 1` and print a warning if so. So you mean completely...
Hi @divyashreepathihalli, Yes, I can create a new PR if you can confirm that this feature seems reasonable and that the Keras team would be willing to merge it. Thanks.
The work is currently in progress 👍🏼
The implementation seems correct, but validation loss is sky-rocketing. I assume model is dealing with too extreme values and overfitting on training dataset. Can you remove the line: `outputs =...
Hmm this is strange, I checked the original Keras doc which has extreme loss values in validation too, so it will be hard to converge for a Bayesian NN. Can...
> I have the same problem about MaxPooling2D. The following tutorial about reproducibility of keras confirmed that the same error occurs: https://keras.io/examples/keras_recipes/reproducibility_recipes/ I wrote this guide when Keras had `jit_compile...
Hi @beyarkay, while waiting the Team's response let me provide some inputs. I think this requires much more effort rather than adding a simple assertion. Here are some of the...
@DeveshS215 I think the above gist is not complete as `entropy_sort_index` is not defined. Also it is not clear to me what `.item()` method should do in this case? Can...
@DeveshS215 I see, so if it is a scalar value, maybe you can employ some logic using `tf.reduce.xxx`.