Deep Reinforcement Learning Course
What will I learn?
Open up amano yakubomfya Deep Reinforcement Learning (Ukufunda Ifya Nkati Nkati Mu Kulenga Ubwenge Bwa Computer Ukubomfya Amashinte Yakutali) na course yesu iyakumanina iyalengelwe abantu ababomba incito sha technology. Ingilileni mukumfwikisha ifintu fya nkati nkati nge fintu fintu fintu, incito, na malambu, kabili fundeni ifya kubomfya nge DQN, PPO, na A3C. Mwalamana ukubombesha ne TensorFlow na PyTorch, kabili lolesheni ifya kubomfya ubwenge mukukontolola amenshi na mangalo yasango ukukanunsha ukubomfya amaka. Longanyeni amano yenu mukubombesha mumasango ya fake ukubomfya OpenAI Gym, kabili fundeni ukulemba na ripoti ifyo mwaweni bwino bwino. Kuleni incito yenu namasambililo ayabipa ayakwafuluka.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Fundeni TensorFlow & PyTorch: Bombesheni DRL models na mapulogalamu yakufulukisha.
Kanunshisheni Ama Grid Yabwenge: Bombesheni amafya yamaka namasuluhisho ya DRL.
Lembani & Ripoti: Lembani ifyalembwa bwino bwino ne fyo mwaweni pakuti kube ukumfwikishanya bwino bwino.
Lengeni Ama Sango: Bomfyeni OpenAI Gym ukulenga amasango ayakwafuluka aya masambililo.
Pimenini & Kuleni: Pimenini no kukusha ifyo DRL model ibomba bwino bwino.
Suggested summary
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters similar to the examples below
This is a free course aimed at 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.