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我想用来做单步预测，修改参数num_for_predict=1。但output的T维度并不是1，所以我修改了decode
``` python
def decode(self, trg, encoder_output, num_for_predict):
output = self.decoder(self.trg_embed(trg), encoder_output…
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related paper
|摘要|
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|We consider the problem of predicting semantic segmentation of future frames in a video. Given several observed frames in a video, our goal is to predict the semantic se…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Sarcasm Detection
:red_circle: **Aim**: various deep learning models for detecting sarcasm in text dat…
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_Edit: DOI link https://doi.org/10.1007/978-3-319-21233-3_6_
Hi Dr. Greene et al.,
Here is another paper that I found to have a quite interesting premise: https://arxiv.org/pdf/1503.01919.pdf (apolo…
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Opisać i zadecydować o tym jak będziemy jak wyglądać nasza architektura CNN.
- [ ] różna długość próbek na wejście do CNN - rozwiązania:
a) przycięcie próbek,
b) podział sygnałów próbek na 'pod-p…
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Hi, I have networks consisting of LSTM, Convolutional and Dense layers, and some BatchNormalization and Concatenate layers. There is also a lambda layer which performs a very simple function - picking…
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We should have utility functions for constructing dense/convolutional layers (eventually more complex layers like LSTM or multihead attention), which take a context, input node identifiers, and initia…
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##### System information (version)
- OpenCV => 4.1.0 - master-branch
- Operating System / Platform => Win/Linux
- Compiler => g++ 5.4.0
##### Detailed description
Required implementation…