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AesthetiC631
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1 year ago | |
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| data/MNIST | 1 year ago | |
| Figure_1.png | 1 year ago | |
| LeNet.py | 1 year ago | |
| README.md | 1 year ago | |
| linear.py | 1 year ago | |
| mnist_class.py | 1 year ago | |
README.md
PyTorch1
PyTorch从入门到实战
初步入门
1、通过创建随机样本，符合线性函数分布，加入噪声使得样本出现偏差。
2、PyTorch搭建线性回归模型，训练，损失反向传播
3、对比模型与理论
输出结果
==> Learned function: y = +6.17 x^4+3.93 x^3+0.84 x^2+8.19 x^1+2.94
==> Acutal function: y = +6.13 x^4+3.89 x^3+0.86 x^2+8.20 x^1+2.95