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Overview
In the final lesson of Practical Deep Learning for Coders we'll study one of the most important techniques in modern architectures: the skip connection. This is most famously used in the res…
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https://doi.org/10.1101/199315
>Single cell RNA sequencing (scRNA-seq) is a powerful technique to analyze the transcriptomic heterogeneities in single cell level. It is an important step for studyi…
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This new paper might be relevant:
[SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss](https://arxiv.org/abs/2109.15044) by Konstanti…
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Hi Dan,
Here is a link to a video about "Progressive Growing of GANs for Improved Quality, Stability, and Variation". I think it captures the amazing things you can do with neural networks.
[Demon…
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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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[This paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4189457) is connected to the new minister of communications ([Sattar Hashemi](https://x.com/HashemiSattar)) in Iran: https://x.com/ircf…
irgfw updated
3 months ago
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## 📝 Introduction
* 논문 분야: Computer Vision
* 논문에서 정의한 문제: GAN 학습의 불안정성, CNN 을 활용한 unsupervised learning 연구의 부족
* 논문에서 제안한 방법론: CNN 을 활용하여 GAN 학습 안정화
- all convolutional net
- eliminatin…
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Potential readings to focus understanding on probability, mathematical statistics, algorithms, etc more deeply. Talk of applications will be secondary.
- [Statistical modeling: the two cultures](ht…
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# Extending Nobrainer - a deep learning framework for neuroimaging
## Project Description
[Nobrainer](https://github.com/neuronets/nobrainer) is a tensorflow 2.0 based framework for creating and…
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+1. Gatys, Leon, Alexander S. Ecker, and Matthias Bethge. "Texture synthesis using convolutional neural networks." Advances in Neural Information Processing Systems. 2015.
+2. Gatys, Leon A., Alexa…