Pytorch Course
What will I learn?
Ithute thata ka Pytorch ka thuto ya rona e e tletseng e e diretsweng batho ba ba dirang ka theknoloji. Tsena mo go direng di neural network, o ithuta ka botlalo nn.Module, mefuta ya go dira dilo (activation functions), le di feedforward networks. Nna le boitemogelo jwa go itirela dilo ka bowena mo go baakanyetseng tikologo, go baakanya data pele e dirisiwa, le go sekaseka model. Ithute go kwala ditokumente tsa khoutu ka manontlhotlho le go tokafatsa katiso ka loss functions le dioptimizers. Dira gore di porojeke tsa gago di nne ditswerere ka dikaelo tsa rona tse di tletseng. Godisa bokgoni jwa gago ka thuto e e kwa godimo, e e mosola, e e tlhamaletseng.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute Pytorch ka Botlalo: Aga o bo o tokafatse di neural network ka bokgoni jwa Pytorch.
Go Baakanya Data Pele e Dirisiwa: Bona le go tlwaetsa data gore katiso ya model e tsamaye sentle.
Go Dira Neural Network: Dira o bo o diragatse di feedforward networks tse di mosola.
Go Sekaseka Model: Sekaseka o bo o tokafatse maduo a model le bolaodi.
Go Kwala Ditokumente tsa Khoutu: Kwala ditokumente tsa khoutu tse di papametseng, tse di khutshwane, le tse di mosola.
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.