Pytorch_learn

深度学习基础pytorch学习记录

1. create tensor

2. calculation of tensor

3. build a simple network model

4. entropy、KL_Divergence、loss

5. loss_backward and autograd

6. some ways of normalization

7. train a network(training and testing loop)

8. save_load model or checkpoint

9. transformer learning

10. diffusion_model_DDPM learning