├── README.md ├── Week1.md ├── Week2.md ├── Week3.md ├── Week4.md ├── Week5.md ├── Week6.md ├── Week7.md ├── Week8.md ├── Week9.md ├── hello pytorch ├── PyTorch_代码与课程匹配表.txt ├── lesson │ ├── lesson-01 │ │ └── hello pytorch.py │ ├── lesson-02 │ │ └── lesson-02.py │ ├── lesson-03 │ │ ├── lesson-03-Linear-Regression.py │ │ └── lesson-03.py │ ├── lesson-04 │ │ └── lesson-04-Computational-Graph.py │ ├── lesson-05 │ │ ├── lesson-05-Logistic-Regression.py │ │ └── lesson-05-autograd.py │ ├── lesson-06 │ │ ├── 1_split_dataset.py │ │ ├── 2_train_lenet.py │ │ └── test_data │ │ │ └── 100 │ │ │ └── 100.jpg │ ├── lesson-07 │ │ └── Logistic-Regression-norm.py │ ├── lesson-08 │ │ └── transforms_methods_1.py │ ├── lesson-09 │ │ ├── RMB_data_augmentation.py │ │ ├── my_transforms.py │ │ ├── test_data │ │ │ └── 100 │ │ │ │ ├── 100.jpg │ │ │ │ ├── 1001.jpg │ │ │ │ ├── 1002.jpg │ │ │ │ └── 1003.jpg │ │ └── transforms_methods_2.py │ ├── lesson-10 │ │ └── create_module.py │ ├── lesson-11 │ │ └── module_containers.py │ ├── lesson-12 │ │ ├── lena.png │ │ └── nn_layers_convolution.py │ ├── lesson-13 │ │ ├── lena.png │ │ └── nn_layers_others.py │ ├── lesson-14 │ │ └── grad_vanish_explod.py │ ├── lesson-15 │ │ ├── ce_loss.py │ │ └── loss_function_1.py │ ├── lesson-16 │ │ └── loss_function_2.py │ ├── lesson-17 │ │ ├── create_optimizer.py │ │ └── optimizer_methods.py │ ├── lesson-18 │ │ ├── learning_rate.py │ │ └── momentum.py │ ├── lesson-19 │ │ ├── create_scheduler.py │ │ └── lr_decay_scheduler.py │ ├── lesson-20 │ │ └── test_tensorboard.py │ ├── lesson-21 │ │ ├── loss_acc_weights_grad.py │ │ └── tensorboard_methods.py │ ├── lesson-22 │ │ ├── lena.png │ │ ├── tensorboard_methods_2.py │ │ └── weight_fmap_visualization.py │ ├── lesson-23 │ │ ├── hook_fmap_vis.py │ │ ├── hook_methods.py │ │ └── lena.png │ ├── lesson-24 │ │ └── L2_regularization.py │ ├── lesson-25 │ │ ├── dropout_layer.py │ │ └── dropout_regularization.py │ ├── lesson-26 │ │ ├── bn_and_initialize.py │ │ ├── bn_application.py │ │ └── bn_in_123_dim.py │ ├── lesson-27 │ │ └── normallization_layers.py │ ├── lesson-28 │ │ ├── checkpoint_resume.py │ │ ├── model_load.py │ │ ├── model_save.py │ │ ├── readme.txt │ │ └── save_checkpoint.py │ ├── lesson-29 │ │ └── finetune_resnet18.py │ ├── lesson-30 │ │ ├── 1_cuda_use.py │ │ ├── 2_cuda_methods.py │ │ ├── 3_multi_gpu.py │ │ ├── 4_model_load_in_gpu.py │ │ ├── model_in_gpu_0.pkl │ │ └── model_in_multi_gpu.pkl │ ├── lesson-31 │ │ ├── common_errors.py │ │ ├── foo_net.pkl │ │ └── model_in_multi_gpu.pkl │ ├── lesson-32 │ │ └── resnet_inference.py │ ├── lesson-33 │ │ ├── 1_seg_demo.py │ │ ├── 2_unet_portrait_matting.py │ │ └── 3_portrait_inference.py │ ├── lesson-34 │ │ ├── detection_demo.py │ │ └── fasterrcnn_demo.py │ ├── lesson-35 │ │ ├── gan_demo.py │ │ └── gan_inference.py │ └── lesson-36 │ │ └── rnn_demo.py ├── model │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ └── lenet.cpython-36.pyc │ └── lenet.py ├── readme.txt └── tools │ ├── __init__.py │ ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── common_tools.cpython-36.pyc │ └── my_dataset.cpython-36.pyc │ ├── common_tools.py │ ├── dcgan.py │ ├── my_dataset.py │ └── unet.py └── picture └── Week3_3.jpg /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JansonYuan/Pytorch-Camp/HEAD/README.md -------------------------------------------------------------------------------- /Week1.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JansonYuan/Pytorch-Camp/HEAD/Week1.md -------------------------------------------------------------------------------- /Week2.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JansonYuan/Pytorch-Camp/HEAD/Week2.md -------------------------------------------------------------------------------- /Week3.md: 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