├── README.md └── notes ├── 1TensorFlow介绍 ├── .ipynb_checkpoints │ ├── 2-1两个向量的加法运算-checkpoint.ipynb │ ├── 验证TensorFlow是否安装成功(不输出额外信息)-checkpoint.ipynb │ └── 验证TensorFlow是否安装成功-checkpoint.ipynb ├── 1-1验证TensorFlow是否安装成功.ipynb ├── 1-2验证TensorFlow是否安装成功(不输出额外信息).ipynb └── 2-1两个向量的加法运算.ipynb ├── Deep_Learning_Basics_with_Python_TensorFlow_and_Keras ├── Day1 │ ├── Day1.ipynb │ └── simple_keras_model.png ├── Day2 │ └── Day2.ipynb └── README.md ├── Google机器学习速成课程笔记 ├── README.md ├── images │ ├── 0003_linear.png │ ├── 0003_loss.png │ ├── 0003_practice.png │ ├── 0003_tempature.png │ ├── 0004_gradient_descent.png │ ├── L2_loss_figure.png │ ├── LearningFromData.png │ └── linear_regression.png ├── 机器学习概念 │ ├── 机器学习简介.md │ ├── 深入了解机器学习.md │ ├── 问题构建.md │ └── 降低损失.md └── 简介 │ ├── intro_to_pandas.ipynb │ └── 前提条件和准备工作.md ├── TensorFlow从入门到精通 ├── 01_简单线性模型.ipynb └── README.md ├── handson-ml2-note └── README.md └── tf2_course-note └── README.md /README.md: 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