├── 01 weight to height ├── code.ipynb └── Đề-bài.pdf ├── 02 Mnist CNN Pytorch ├── mnisst.rar ├── mnist cnn cách 2.ipynb ├── mnist cnn.ipynb ├── Đề bài.docx └── Đề bài.pdf ├── 02 Mnist Logistic Regression n ANN ├── mnisst.rar ├── mnist ann.ipynb ├── Đề bài.docx └── Đề bài.pdf ├── 02 Mnist SVM ├── code mnist ml.ipynb ├── Đề bài.docx └── Đề bài.pdf ├── 03 BMI ├── Cách 2 _sử dụng Gradient descent.ipynb ├── cách 1 dùng công thức hoặc thư viện.ipynb ├── ĐỀ BÀI.docx └── ĐỀ BÀI.pdf ├── 04 Iris SVM ├── iris.ipynb ├── iris.csv ├── đề bài.docx └── đề bài.pdf ├── 05 Cifar10 CNN Keras ├── check_python │ ├── .idea │ │ ├── .gitignore │ │ ├── check_python.iml │ │ ├── inspectionProfiles │ │ │ └── profiles_settings.xml │ │ ├── misc.xml │ │ └── modules.xml │ ├── dotenv │ │ └── config.env │ ├── main.py │ ├── requirements.txt │ ├── src │ │ ├── __pycache__ │ │ │ ├── app.cpython-36.pyc │ │ │ └── app.cpython-39.pyc │ │ ├── app.py │ │ └── dl_code │ │ │ ├── __pycache__ │ │ │ ├── predict_image.cpython-36.pyc │ 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github.ipynb ├── cifar10.pptx ├── front_end │ ├── img │ │ ├── 1.png │ │ ├── 2.png │ │ ├── 3.png │ │ ├── aa.jpg │ │ ├── cifar1.png │ │ ├── cifar2.png │ │ ├── cifar3.png │ │ ├── cifar4.png │ │ ├── cifar5.png │ │ ├── cifar6.png │ │ ├── cifar7.png │ │ ├── huy.png │ │ ├── logo.png │ │ ├── nam.png │ │ └── nu.png │ ├── index.html │ ├── main.js │ └── reset.css ├── kiến thức cifar10.pdf └── test.ipynb └── README.md /01 weight to height/code.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyinit/Hoc-cap-toc-ML-DL-qua-bai-tap-lon/HEAD/01 weight to height/code.ipynb -------------------------------------------------------------------------------- /01 weight to height/Đề-bài.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyinit/Hoc-cap-toc-ML-DL-qua-bai-tap-lon/HEAD/01 weight to height/Đề-bài.pdf 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