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the article said the R can be semantic label (as one-hot encoding) or optical flow maps
but the whole Algorithm 1 has no R
i dont know what is the data X and what is the label Y for backpropagation …
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https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html
https://www.youtube.com/watch?v=3svIm5UC94I
T…
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depends on #10 #11 #12
This task is an example project, I want to use to later abstract and reuse in other projects, some aspects can not be replaced but a general structure can be created.
# 1.…
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Thanks for the open source work. When I use TripletLoss and TripletMarginMiner to fine tune the model which obtained by proxy anchor loss. In most cases, the loss is always 0. Is this normal? May I as…
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Hello, Thank you for releasing the scripts and sharing the awesome work.
Here, I would like to ask about the training label. I have a look at the Multistaged backpropagation algorithm in [Supp](http…
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As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.
Tags: deep_learning
via Pocket https://ift.tt/…
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): **Yes**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **OS X 10.…
jmd-0 updated
3 years ago
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Thanks for the GREAT repo! I noticed, there is only one small difference between the algorithms of this 2 visualization methods:
For Guided BP we use: **return (F.relu(grad_in[0]),)**
For Deconvne…
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Hi, do you consider gradient quantization in your implementation?
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As a developer I wan to research processes in the backpropagation algorithm, so I need aт OOP code of the not optimized neural network (optimization makes code less readable). No side libraries for NN…
KEMBL updated
4 years ago