https://github.com/piglaker/xtlake
my deelpearning utils/frame based on numpy
https://github.com/piglaker/xtlake
Last synced: 3 months ago
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my deelpearning utils/frame based on numpy
- Host: GitHub
- URL: https://github.com/piglaker/xtlake
- Owner: piglaker
- Created: 2019-10-27T07:41:35.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-06T11:23:36.000Z (over 4 years ago)
- Last Synced: 2025-01-16T18:57:44.354Z (5 months ago)
- Language: Jupyter Notebook
- Size: 3.09 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# xtlake
## 2019
my deelpearning utils/frame based numpy
我的基于numpy的深度学习框架，
已经实现：
- 前向传播
- softmax cross entropy 交叉熵损失函数
- MSE均方误差
- backpropapration反向传播
- BGD 梯度下降更新权重
- Relu/sigmoid激活函数
- 保存/加载模型
* 尚未完成：
卷积池化等操作
* Test with Scikit-learn MLP: ACC: 3% | 5%;TimeCost:300+ | 10+
## 2021
- numpy_lstm.ipynb:not test yet
LSTM (numpy)
RNN (numpy)
- torch_mt.ipynb: test my gru(torch api) on torch demo
RNN(torch)