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Hello everyone! I recently wrote https://github.com/keras-team/keras-io/pull/1440 and I'd like to make this example fully keras-core friendly. This requires implementations of probability distributi…
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Hello, I've successfully converted MobileViT v1 (variants - XXS, XS, S) models from Pytorch to Keras 3, including their pre-trained image classification weights. Can such models be added to KerasCV? I…
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https://github.com/philipperemy/keras-tcn/issues/246
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Motivation
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`any_symbolic_tensors` is called on pretty much all ops and it internally uses `tree.flatten()` to check if any positional or keyword arguments to the op is a `KerasTenso…
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Will there an official tensorflow version, since your guys are from google-research?
I noticed there are many unofficial tf/keras implementations, but none with "pretrained weights".
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While using train.py I get
> WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python imple…
urumo updated
7 years ago
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**Short Description**
A fresh issue to discuss the implementation of the [Fully Convolutional Network for Semantic Segmentation](https://arxiv.org/abs/1411.4038) paper
Last discussed here in #1099
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In the function temporal_convolution_layer.
shift = (kernel_size // 2) + (int(dilation_rate - 1) // 2)
In Keras and some other implementations. The equation is like this
shift = dilation_rate * …
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Using lambdas can lead to the model not being usable on other python versions / systems when saving and loading the result as a h5 file (see: https://github.com/keras-team/keras/issues/9595 ).
I su…
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I'd love to try and implement GradCam on this project, however the pretrained models seem to be packed with the Tensorflow save instead of Keras. Do you have the checkpoints available for the evaluat…