Pytorch Course
What will I learn?
Unleash the power of PyTorch ne chidzidzo chedu chakadzama chakagadzirirwa nyanzvi dzetekinoroji. Nyura mukugadzira neural network, uchinyatso ziva nn.Module, activation functions, nema feedforward networks. Wana ruzivo rwekuita uchishandisa maoko mukumisikidza nharaunda, kugadzirira data, nekuongorora modhi. Dzidza kunyora magwaro ekodhi zvinobudirira nekugadzirisa kudzidziswa nema loss functions nema optimizers. Chinatsa magwaro ako eprojekiti nemirayiridzo yedu yakadzama. Simudzira hunyanzvi hwako nekudzidza kwemhando yepamusoro, kunobatsira, uye kwakapfupika.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi yePyTorch: Vaka nekugadzirisa neural networks nehunyanzvi hwePyTorch.
Kugadzirira Data: Tora nekugadzirisa data kuti uwedzere kudzidziswa kwemodhi.
Kugadzirwa kweNeural Network: Gadzira nekuita network dzinoshanda dze feedforward.
Kuongorora Model: Ongorora nekuvandudza mashandiro echinhu nemazvo.
Kunyora magwaro eKodi: Nyora magwaro akajeka, mapfupi, uye anoshanda.
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.