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# Project Request
Automatic captioning of videos based on cooking by understanding the action behind the scene and providing Nutrtional information based on the ingredients used.
| Field | D…
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I'm trying to solve OCR tasks based on this code.
So what shape input to LSTM should have, suppose we have images `[batch_size, height, width, channels]` how should they be reshaped to be used as i…
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I have read the paper, it is very interesting work, but I was thinking to use it with Conv layers, but the Conv layer is not implemented.
I have researched other Github repository, there is no PyT…
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Hi @Rayhane-mamah,
my corpus ~2.5-hour Single-Speaker Speech, Each audio file is Maximum 16 seconds Which are attached below file train.txt and hparams.py.
import tensorflow as tf
import numpy a…
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Using the oneAPI 2024.1 release, build the SYCL CPU and GPU backends. Ensure that no SYCL devices are available on the system. Then run ctest:
```
% export OCL_ICD_VENDORS=/dev/null
% sudo dnf -y…
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Brainstorm
-Robust gives really high accuracy (< 98%)
-Assumed that it is because it takes multiple iterative images as input.
-"propose a hybrid deep architecture by combining the convolutional ne…
K2sei updated
3 years ago
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Find details about the calculation in the neuron of a LSTM network. The X symbol represent an element-wise multiplication between its inputs, but how does it work?
Zermy updated
6 years ago
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import caffe
affe.set_mode_gpu()
net = caffe.Net("/path-to/Attention-56-dcase.prototxt",caffe.TRAIN)
got error:
I1207 11:37:31.168298 31752 layer_factory.hpp:77] Creating layer conv1/bn
F1207…
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# 一句话总结
针对跨句子的RE问题,提出了LSTM-CNN的结构。还是比较直觉的一种做法
资源:
- [pdf](https://openreview.net/pdf?id=Sye0lZqp6Q)
关键词:
- A combined Long Short Term Memory and Convolutional Neural Networks (LSTM …
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We see both variants of `axis` or `in_spatial_dim` in various functions and modules.
`axis` is often used when the argument in principle does not always need to be a spatial dim. For many of the lo…