Tensorflow Course
What will I learn?
Itsollela maatla a thuto ya botegeniki ka Thuto ya rona e e tletseng ya TensorFlow, e e diretsweng batho ba ba dirang mo go tsa thekenoloji ba ba tlhagafaletseng go gaisa botlhe. Tsena mo dilong tsa botlhokwa tsa TensorFlow, go tloga ka go tsenya go fitlha ka go itse dipopego tsa tshedimosetso. Aga manakana a neural a a nonofileng o dirisa Sequential le Functional APIs, tokafatsa ditsela ka go baakanya di-hyperparameter, mme o oketse tiro ka go dirisa mekgwa e e mosola ya go sekaseka. Ithute go kwala ditlankana tsa diphitlhelelo, go supa tshedimosetso ka setshwantsho, le go tlhagisa maduo ka phepafalo. Tsholetsa bokgoni jwa gago ka diteng tse di mosola, tsa maemo a a kwa godimo tse di diretsweng go dirisiwa mo botshelong jwa mmatota.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute dintlha tsa botlhokwa tsa TensorFlow: Tsenya, rulaganya, le go tlhaloganya dipopego tsa tshedimosetso tsa konokono.
Aga manakana a neural: Tlhalosa popego o dirisa Sequential le Functional APIs.
Tokafatsa ditsela: Baakanya di-hyperparameter mme o tlhophe ditokafatsi tsa tiro e e kwa godimo.
Sekaseka tiro: Kgaoganya tshedimosetso, netefatsa ditsela, mme o oketse kakaretso.
Kwala ditlankana tsa diphitlhelelo: Kwala dipego, supa tshedimosetso ka setshwantsho, mme o sale morago mekgwa e e siameng ya go kwala ditlankana tsa khoutu.
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.