Deep Learning With Python Course
What will I learn?
Vhura simba re deep learning nechirongwa chedu che Python chakagadzirirwa vashandi ve Business Intelligence. Tanga kudzidzira nekuyera mamodels, uchinyatsonzwisisa zviyero zvekuita zvakaita seMAE ne RMSE. Simudzira hunyanzvi hwako ne matekiniki ekuvandudza mamodels, kusanganisira cross-validation ne hyperparameter tuning. Ongorora data nenzira dzepamusoro dzekutsvaga nekugadzirira. Vaka mamodels akasimba uchishandisa TensorFlow ne PyTorch, uye nyora zvawakawana zvinobudirira. Simudzira hunyanzvi hwako hweBI nekudzidza kunoshanda, kwemhando yepamusoro.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatso ziva kuyera kwemamodel: Dzidza MAE, RMSE, uye matekiniki ekuparadzanisa data.
Vandudza mamodels: Ongorora cross-validation ne hyperparameter tuning.
Gadzira deep learning models: Shandisa TensorFlow ne PyTorch zvinobudirira.
Simudzira kuongorora data: Ziva zvisina kujairika uye unzwisise magadzirirwo edata.
Nyora zvinobudirira: Nyora mishumo yakajeka uye ugovane zvawakawana zvakanaka.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.