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Neural Networks Course

What will I learn?

Unfur awoodda shabakadaha neural-ka adigoo adeegsanaya koorskeena dhamaystiran ee loogu talagalay xirfadlayaasha teknolojiyadda. Gal qoto dheer qiimaynta moodelka, xalli dhibaatooyinka ka dhasha xog-badnaanta (overfitting), oo xirfadays cabbirada saxnaanta. Ka gudub caqabadaha hirgelinta, wanaaji waxqabadka, oo sahami farsamooyinka diyaarinta xogta. Hel khibrad toos ah oo aad kula shaqaynayso PyTorch iyo TensorFlow, oo naqshadee qaabab wax ku ool ah. Bar sida loo diiwaan geliyo loona soo tebiyo natiijooyinkaaga, adigoo hubinaya caddayn iyo saxnaan. Sare u qaad xirfadahaaga oo horumari hal-abuurka warshadaha tignoolajiyada maanta.

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Printable PDF summaries
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Select and arrange the chapters you wish to study
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Study anytime, even offline

Develop skills

Strengthen the development of the practical skills listed below

Master model evaluation: Analyze accuracy, precision, recall, and F1 score. (Xirfadays qiimaynta moodelka: Falanqee saxnaanta, saxsanaanta, soo celinta, iyo dhibcaha F1.)

Tackle implementation challenges: Debug and optimize neural networks effectively. (Xalli caqabadaha hirgelinta: Baadh oo wanaaji shabakadaha neural-ka si wax ku ool ah.)

Excel in data preparation: Engineer features and preprocess datasets efficiently. (Ku fiicnow diyaarinta xogta: Injineer sifooyinka oo horudhac u diyaari xog ururinta si hufan.)

Harness programming libraries: Utilize PyTorch and TensorFlow for model training. (Adeegso maktabadaha barnaamijyada: U adeegso PyTorch iyo TensorFlow tababarka moodelka.)

Design neural architectures: Choose optimal structures and apply activation functions. (Naqshadee qaababka neural-ka: Dooro qaababka ugu fiican oo dalbo shaqooyinka kicinta.)

Suggested summary

Workload: between 4 and 360 hours

Before beginning, you can adjust 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 can generate more chapters similar to 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 provides practical and relevant knowledge for your professional journey.