Tensorflow Course
What will I learn?
Vhura simba remuchina wekudzidza neChirongwa chedu cheTensorflow chakadzama, chakagadzirirwa nyanzvi dzetekinoroji dzinoshuvira kubudirira. Nyura muzvinhu zvakakosha zveTensorflow, kubva pakuiswa kusvika pakudzidza zvimiro zvedata. Vaka neural network dzakasimba uchishandisa Sequential neFunctional APIs, gadzirisa mamodheru nekugadzirisa hyperparameter, uye wedzera mashandiro kuburikidza nemaitiro ekuongorora anoshanda. Dzidza kunyora zvawakawana, ratidza data, uye uburitse mhedzisiro zvakajeka. Simudzira hunyanzvi hwako nezvakanaka, zvemhando yepamusoro zvakagadzirirwa zvikumbiro zvenyika chaiyo.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Dzidza zvakakosha zveTensorFlow: Isa, gadzira, uye unzwisise zvimiro zvedata.
Vaka neural network: Tsanangura magadzirirwo uchishandisa Sequential uye Functional APIs.
Gadzirisa mamodheru: Gadzirisa ma hyperparameter uye sarudza ma optimizer kuti uwane mashandiro epamusoro.
Ongorora mashandiro: Govera data, simbisa mamodheru, uye wedzera kujekesa.
Nyora zvawakawana: Nyora mishumo, ratidza data, uye uteedzere maitiro akanaka ekunyora magwaro ecode.
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.