├── README.md ├── 第一次作业 ├── py1.py ├── py2.py └── py3.py ├── 第七次作业 ├── densenet.py ├── resnet.py └── vgg19.py ├── 第三次签到作业 ├── adadelta.py ├── adagrad.py ├── adm.py ├── 带动量sgd.py └── 无动量sgd.py ├── 第二次作业 ├── iris.txt ├── 初始版本.py ├── 采用pytorch实现.py └── 采用多层神经网络实现.py ├── 第五次作业 ├── fashion_mnist_app.py └── fashion_mnist_train.py ├── 第八次作业 ├── GRU.py ├── LSTM.py ├── reademe.md └── rnn_sequential_stock.py ├── 第六次作业 ├── VGGNet16.py └── 普通卷积识别cifar10数据集.py └── 第四次作业 ├── 断点续训.py └── 模型训练.py /README.md: -------------------------------------------------------------------------------- 1 | # 2 | 北京大学软件与微电子学院《人工智能实践》作业，课程链接：https://www.icourse163.org/course/PKU-1002536002 3 | -------------------------------------------------------------------------------- /第一次作业/py1.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/archersama/pku-Artificial-intelligence-practice-homework/HEAD/第一次作业/py1.py 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