Web page version of this README: https://mansurcompai.github.io/AI_with_PythonPytorch_Uz/
Bizning maqsadimiz, sun'iy intellekt haqida sizlarda tasavvur uyg'otish hamda uni qo'llash ko'nikmalarini oshirish. Ushbu web-sahifamiz orqali muntazzam darsliklar yangilab boriladi hamda, siz o'rganuvchilar uchun taqdim qilinadi. Bilimlaringizni oshirish maqsadida bir qancha topshiriqlar aynan shu yerda berib boriladi...
- PyTorch bu Python dasturlash tilining hozirgi kunda ML & DL sohalarida keng qo'llaniladigan kutubxonalaridan biri.
- Pytorch kutubxonasi haqida batafsil ma'lumotlarni PyTorch orqali bilib olishingiz mumkin.
- Matematika:
- Boshlang'ich algebra
- Chiziqli algebra (Linear ALgebra)
- Ehtimollar nazariyas (Probability)
- Dasturlash Tili:
- Python
- Python. Avvalgi darslarimizda, Python dasturini qanday qilib o'rantish haqida ko'rsatib o'tganmiz.
- PyTorch kutubxonasini o'rnatish uchun websitega tashrif buyurib u yerdan kerakli jihatlar tanlanadi (specifications).
- Bundan so'ng maxsus syntax ko'chirib olinib (command prompt)da yuritilinishi talab etiladi. Video 4.50 sec da ko'rishingiz mumkin.
Masalan:
pip install torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio===0.7.0 -f https://download.pytorch.org/whl/torch_stable.html
- Boshqa kerakli kutubxonalar esa, darslar davomida yuklanib boriladi.
Darslar | Mavzu | Videolar | Slaydlar |
---|---|---|---|
1-dars | Kirish (Overview) | 1-video | 1-slayd |
2-dars | Chiziqli Model (Linear Model) | 2-video | 2-slayd |
3-dars | Gradient Pastlash (Gradient Descent) | 3-video | 3-slayd |
4-dars | Teskari hisoblash va Avtograd (Backpropagation & Autograd) | 4-video | 4-slayd |
5-dars | Chiziqli Regressiya (Linear Regression) | 5-video | 5-slayd |
6-dars | Mantiqiy Regressiya (Logistic Regression) | 6-video | 6-slayd |
7-dars | Wide and Deep | 7-video | 7-slayd |
8-dars | PyTorch Dataloader | 8-video | 8-slayd |
9-dars | Softmax | 9-video | 9-slayd |
10-dars | CNN asoslari | 10-video | — |
Administrator, creator: Mansurbek Abdullaev
Mail: mansurbek.comchemai@gmail.com
Telegram : @amduzadmin
Linkedln : Mansurbek Abdullaev