Next, clone this project by opening a terminal and typing the following commands (do not type the first$signs on each line, they just indicate that these are terminal commands): $ git clone https://github.com/ageron/handson-ml3.git $ cd handson-ml3 ...
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. - Hands-on-Machine-Learning/03_Classification_MNIST.ipynb at master · qingyang89
完整的代码在 GitHub 上获取,地址是:https://github.com/ageron/handson-ml。代码形式是 Jupyter Notebook。 3.1 创建工作环境 首先你需要安装 Python,获取地址:https://www.python.org/。 接下来需要创建一个工作空间目录,在终端输入以下命令(在提示符 $ 之后): $exportML_PATH="$HOME/ml"# You can change...
《Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems》书名实在太长,后面就就直接叫《Hands on Sklearn and TF》吧。 无意中发现这本书在GitHub上已经有了中译本,感谢ApacheCN的各位大佬,链接如下:https://github.com/apachecn/hands_on_...
3.Hands-on Machine Learning with Scikit-Learn and TensorFlow https://github.com/apachecn/hands_on_Ml_with_Sklearn_and_TF https://www.jianshu.com/p/49bfb59b96b7 https://github.com/ageron/handson-ml ubuntu安装 从清华大学开源软件网站上选择合适的源文件并下载 ...
$ git clone https://github.com/ageron/handson-ml2.git $ cd handson-ml2 Next, run the following commands: $ conda env create -f environment.yml $ conda activate tf2 $ python -m ipykernel install --user --name=python3 Finally, start Jupyter: $ jupyter notebook If you need furth...
$ git clone https://github.com/ageron/handson-ml2.git $ cd handson-ml2 If you want to use a GPU, then editenvironment.yml(orenvironment-windows.ymlon Windows) and replacetensorflow=2.0.0withtensorflow-gpu=2.0.0. Also replacetensorflow-serving-api==2.0.0withtensorflow-serving-api-gpu==2.0...
https://github.com/ageron/handson-ml/tree/master/datasets/housing Create the Workspace: 操作系统最好用Ubuntu16.04 创建工作区: $ export ML_PATH="$HOME/ml" # You can change the path if you prefer $ mkdir -p $ML_PATH 接下来是创建你自己的Python环境,本书中作者推荐Python3 虽然Python2.7+也...
好久没更过算法方面的笔记了,正好hands-on ml除了第二版,新章节无监督这块写的很好,记录一下 虽然大部分机器学习都是基于有监督的,但是大部分数据都是没有标签的。以为名家说过:如果机器学习是一块蛋糕,那么无监督机器学习就相当于是蛋糕,监督学习就像是蛋糕的糖霜,强化学习是蛋糕上的殷桃。(意思就是无监督还是灰...
Hands-On Machine Learning with Scikit-Learn and TensorFlow 2024 pdf epub mobi 用户评价 评分☆☆☆ 优秀的一批 评分☆☆☆ 五星佳作。目前我所了解到的面向编程的ML/DL技术书籍中最好的一本,完美诠释什么叫“理论联系实际”。适合有CS背景的对ML/DL有兴趣的读者,无论是想熟悉理论还是想练习实现。如果有...