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Deep Reinforcement Learning Course

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What will I learn?

Vhurai mikana ye Deep Reinforcement Learning nechikoro chedu chakadzama chakagadzirirwa vashandi ve tekinoroji. Nyatso dzidzai pfungwa dzakakosha sedzitsi, chiito, nemubairo, uye ivei nyanzvi mumagorithm akadai seDQN, PPO, neA3C. Wana ruzivo rwakadzama neTensorFlow nePyTorch, uye ongororai masisitimu e smart grid kuti muwedzere kushandiswa kwesimba. Simbisai hunyanzvi hwenyu munzvimbo dzakagadzirwa muchishandisa OpenAI Gym, uye mudzidze kunyora nekutaura zvamawana nemazvo. Simudzai basa renyu nekudzidza kunoshanda uye kwemhando yepamusoro.

Apoia's Unique Features

Online and lifetime course access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your development of the practical skills listed below

Iva Nyanzvi muTensorFlow & PyTorch: Shandisai DRL models nemaframeworks anotungamira.

Wedzerai Kushanda KwemasMart Grids: Kurisai matambudziko esimba nemhinduro dze DRL.

Nyora & Taura: Tsanangurai magadzirirwo nemhedzisiro yekukurukurirana kwakajeka.

Tevedzerai Nzvimbo: Shandisai OpenAI Gym kugadzira mamiriro ekurovedza akajeka.

Ongororai & Simbisai: Ongororai nekuvandudza mashandiro e DRL model nemazvo.

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.