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Deep Reinforcement Learning Course

Deep Reinforcement Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

ዓሚቕ ምድግጋም ዝተምሃረ (Deep Reinforcement Learning) ብዛዕባ ዝምልከት ኩለመዳዊ ትምህርቲ ብምውሳድ ዓቕምታትካ ኣዕብዮ። ከም ኩነታት፣ ተግባር፣ ከምኡ’ውን ዓስቢ ዝኣመሰሉ ኣገደስቲ ጽንሰ-ሓሳባት ተረድእ፣ ከም DQN፣ PPO፣ ከምኡ’ውን A3C ዝኣመሰሉ ኣልጎሪዝም (algorithms) ድማ ተ опасайтесь። ብ TensorFlowን PyTorchን ተሞክሮ ግበር፣ ከምኡ’ውን ንፍልጠት ጸዓት ንምምሕያሽ ናይ ስማርት ግሪድ (smart grid) ስርዓታት ዳህስስ። OpenAI Gym ብምጥቃም ኣብ ዝተመስሉ ከባቢታት ክእለትካ ኣመሓይሽ፣ ከምኡ’ውን ዝረኸብካዮ ብጽሑፍ ከመይ ጌርካ ከም እተመሓላልፍ ተምሃር። ግቡእ ዝኾነ ጥዕመትን ዝለዓለ ትምህርትን ብምውሳድ ንስራሕካ ኣዕቢ።

Elevify advantages

Develop skills

  • TensorFlow & PyTorch ምልላይ: DRL ሞዴላት (models) ብመርሕነት ፕላትፎርም ኣተግብር።
  • ስማርት ግሪድ ምምሕያሽ: ብ DRL መፍትሒታት (solutions) ንጸገማት ጸዓት ምፍታሕ።
  • ብጽሑፍ ምድጋፍን ሪፖርት ምቕራብን: ንጹር ዝኾነ ርክብ ንምፍጣር ኣሰራርሓን ውጽኢትን ብዝርዝር ግለጽ።
  • ዝተመሳሰሉ ከባቢታት ምፍጣር: ሓቀኛ ስልጠና ዝውሃበሉ ከባቢ ንምፍጣር OpenAI Gym ተጠቐም።
  • ምግምጋምን ምምሕያሽን: ኣፈጻጽማ ናይ DRL ሞዴል (model) ብግቡእ ኣገምግምን ኣመሓይሽን።

Suggested summary

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

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