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**Abstract**
There are various neural network frameworks, libraries and APIs available,and so its quite difficult to choose the best for the project. Still Keras is the most favourable.
**About*…
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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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## Project Request
Develop an object detection model using YOLO. An image will be the input to the model and the model will broadly classify the image into the classes it has been trained on.
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# TODO
## 系统
- [x] 南京大学大操作系统课
- [ ] 南京大计算机系统基础 NEMU
- [ ] 清华大学 rCore
- [ ] Stanford CS140e (C版本/Rust版本)
## 计算机网络
- [ ] CMU 15441
## 分布式系统
- [ ] CMU 15440
## Deep Unsupervised Learning
- [ ]…
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To train nets:
- we generate millions of selfplay games at a given visit number (1600 visits currently)
- we then only use ~10% of the positions generated to train candidate nets (the ~10% has to be…
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Join discord channel of Face-X for any queries: https://discord.com/invite/Jmc97prqjb
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@TAHIR0110 ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
NephroNet-VGG16 is a deep learning project aimed at classifying kidney di…
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## Motivation
Currently, the Burn deep learning framework in Rust lacks support for 0-dimensional tensors (scalars). Adding support for 0-dimensional tensors would enhance the framework's capabilit…
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Use Diagonalwise conv instead of Depthwise Conv, or use TensorFlow Depthwise Conv implementation.
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
* https://…