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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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https://www.microsoft.com/en-us/research/publication/using-recurrent-neural-networks-for-slot-filling-in-spoken-language-understanding/
**Authors**
Grégoire Mesnil
Yann Dauphin
Kaisheng Yao
Yoshua Be…
fin10 updated
7 years ago
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- [X] I have searched the existing issues
## Feature Description
### HeartBeat Classification using ECG
This project focuses on developing a system for classifying heartbeats using Electr…
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:red_circle: **Title** : Automated Essay Scoring System
:red_circle: **Aim** : Create a system to automatically score essays using NLP techniques.
:red_circle: **Brief Explanation** :
- Colle…
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Løsningsforslag:
1. Dan finansbilag på lige fod med placerede poster inkl. indikation af accuracy i vilkårligt ubrugt parameter i bilaget.
2. Fane på frontend med konteringsforslag til seneste bog…
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iccv两年一届,今年的已经要到10月份了,找到一篇16年nips的workshop。
#### Source:
nips2016 workshop [Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks](https://github.com/imatge-upc/activityne…
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I noticed that the current toolkit only supports Conv2D and Dense models. But in practical application and research, we often use time series data to predict. So I want to know whether this theory is …
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Sudoku Solver using CNN
:red_circle: **Aim** :
Network was able to solve the puzzles with 95% accurac…
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We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
| Noteb…
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Currently the model always takes greedy decision for each step in the sequence path. During prediction, this is usually not optimal as the best path may not be the greedy path. Beam search is often us…