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Neural Network Course

Neural Network Course
flexible workload from 4 to 360h
certificate recognized by MEC

What will I learn?

Ggulawo obusobozi obuli mu neural networks nga tukozesa course eno etegerekeka obulungi, etebwa eri abakugu mu tekinologiya. Yingira mu bintu ebikulu ebya neural network applications, engeri y'okuzimba architecture, ne hyperparameter tuning. Yiga okuteekateeka data, okukola model testing, n'okulondoola performance okwongera ku butuufu. Yega okukuba ebiwandiiko n'okuwaayo lipooti mu ngeri entuufu, nga mw'otwalidde code snippets n'obunnyonnyofu. Mang'ana okusoomoozebwa kw'okulagula network traffic n'obuvumu. Wegatte gye tuli ofune obumanyirivu obw'omutindo ogwa waggulu, obwangu, obutuukana n'enteekateeka yo.

Elevify advantages

Develop skills

  • Yiga obulungi hyperparameter tuning okufuna model performance esingayo obulungi.
  • Tegeka neural network architectures n'obwegendereza.
  • Kwasaganya data cleaning ennungi n'engeri z'okuteekateeka data.
  • Pima models nga okuyambisibwa metrics ez'omulembe okufuna obutuufu.
  • Kuba ebiwandiiko n'okuwaayo lipooti n'obunnyonnyofu obujjuvu.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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