Neural Network Course
What will I learn?
Bula bokgoni jwa di-neural network ka khoso ya rona e e feletseng e e diretsweng bomankge ba thekenoloji. Ithute ka botlalo dintlha tsa botlhokwa tsa tiriso ya di-neural network, popego ya di-architecture le go lokisa di-hyperparameter. Nna setswerere mo go baakanyeng data, go leka model le go tlhokomela tiragatso go oketsa nepano. Ithute go kwala le go bega ditokelelo ka bokgabane, go akaretsa dikarolwana tsa dikhoutu le ditlhaloso. Rarabolola dikgwetlho tsa go fopholetsa tsamaiso ya netweke ka itshepo. Kopanela le rona mo boitemogelong jwa go ithuta jo bo nang le boleng jo bo kwa godimo, jo bo ka go lekanang le nako ya gago.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Nna setswerere mo go lokiseng di-hyperparameter go bona tiragatso e e botoka ya model.
Dira dipopego tsa di-neural network ka tlhamalalo.
Diragatsa mekgwa e e mosola ya go phepafatsa le go baakanya data.
Sekaseka di-model o dirisa metrikhi e e kwa pele go bona nepano.
Kwala le go bega ditokelelo ka phepafalo le dintlha tsotlhe.
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.