Is it possible to implement a function similar to LogisticRegression in scikit-learn with tensorflow?

now there are tasks that need to use a deep learning framework to implement a function that is roughly the same as that of LogisticRegression in scikit-learn. Is it possible? If there is one? Could you tell me the general steps? Because I am not familiar with tensorflow, I have no idea about this problem.

Scikit-learn tensorflow python
May.25,2022

Previous: Why is it invalid to set the images size of backgroundColor to the label below series in echarts?

Next: Problems of asynchronously obtaining data and transferring values in react

css mysql arrays josn react html typescript webpack npm sass R objective-c .net sql-server jquery python-3.x angularjs django angular excel regex iphone ajax linux xml pandas vba spring database wordpress string wpf xcode windows bash postgresql oracle multithreading eclipse list firebase algorithm macos forms image scala visual-studio azure bootstrap spring-boot react-native python-2.7 docker performance function winforms matlab powershell apache dataframe api sqlite numpy rest shell selenium flutter dart maven loops qt swing android-studio csv express file class tensorflow sorting codeigniter perl
MySQL Query : SELECT * FROM `codeshelper`.`v9_news` WHERE status=99 AND catid='6' ORDER BY rand() LIMIT 5
MySQL Error : Disk full (/tmp/#sql-temptable-64f5-1bc7002-3082e.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
MySQL Errno : 1021
Message : Disk full (/tmp/#sql-temptable-64f5-1bc7002-3082e.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
Need Help?