Neural Networks Course
What will I learn?
Bula bokgoni jwa di-neural network ka khoso ya rona e e tsepameng e e diretsweng batho ba ba dirang ka boranyane jwa segompieno. Ithute ka botlalo ka tshekatsheko ya mekhoa, fenya bothata jwa go fetelediwa ga tshedimosetso, mme o itse dipalo tsa nepamiso ka botlalo. Fenya dikgwetlho tsa tiriso, tokafatsa tiragatso, mme o ithute mekgwa ya go baakanya data. Bona maitemogelo a go dirisa PyTorch le TensorFlow, mme o dire dipopego tse di mosola. Ithute go kwala le go bega diphitlhelelo tsa gago, o tlhomamisa gore di tlhaloganyega sentle e bile di nepile. Godisa bokgoni jwa gago mme o rotloetse tlhamo e ntšha mo indastering ya boranyane gompieno.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go sekaseka mokhoa ka botlalo: Sekaseka nepamiso, bokgabane, kgakologelo, le maduo a F1.
Fenya dikgwetlho tsa tiriso: Baakanya diphoso mme o tokafatse di-neural network ka botswerere.
Nna setswerere mo go baakanyeng data: Dira dipopego mme o baakanye di-dataset pele ka bonako.
Dirisa dilaeborari tsa porograme: Dirisa PyTorch le TensorFlow go thapisa mokhoa.
Dira dipopego tsa neural: Tlhopha dipopego tse di siameng mme o dirise mekgwa ya go tlhagisa tshedimosetso.
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’ll 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.