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model
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I am passing an image which gives the output
array([[[[66.]],
[[53.]],
[[ 3.]],
[[ 3.]],
[[45.]],
[[-1.]],
[[-1.]],
[[-1.]],
[[-1.]],
[[-1.]],
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The 2x down-sampling is one of the important operations in reference models. But, a convolution or a pooling with stride=2, padding='SAME' may result in different outputs over different deep learning libraries (e.g., TensorFlow, CNTK, Theano, Caffe, Torch, ...) due to their different padding behaviors.
For example (TensorNets syntax; but can be regarded as pseudo codes for other libraries),
Version 2 Checklist
Version 2 Checklist
Documentation
- Rewrite version 2 docs to reflect updates
- Rewrite version 2 docs in nuxt (and maybe markdown)
- Add guide for writing tests
Fixes
- allow data with DELETE
- Fix polluted params issue when where params send twice
Enhancements
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apirenamed tohttp - rename
apiConfigtohttpConfig
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kubectl get pods :lcm ContainerCreating,prometheus trainer and trainingdata STATUS CrashLoopBackOff
After I installed FfDl according to the prompts, check the status and get the following prompt:

and use helm list,get follow :

- better / actual documentation (#16)
- rework the already existing test(s) to be better understandable
specific question for @B-Stefan:
(i already asked on discord, but remade it to here)
why does the (base) model of inheritanceClass(tests/models) have an discriminatorKey which is type of `n
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how to define java8 when submit application use spark-submit
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