Telegram Group & Telegram Channel
❇️ بهینه سازی شبکه عصبی MLP با الگوریتم جست و جوی خزنده(کروکدیل) RSA
❇️ Optimizing MLP using Reptile Search Algorithm

✳️ لینک مشاهده معرفی آموزش:
www.aparat.com/v/s59qo6h

مدت زمان کل آموزش: 1 ساعت
🚹 مدرس
ID: @hassan_saadatmand

#MLP #optimization
#neuralnetworks #RSA

✳️ آموزش متلب
🆔: www.tg-me.com/hk/MATLAB Learning/com.matlabanyone
www.aparat.com/matlablearning



tg-me.com/matlabanyone/671
Create:
Last Update:

❇️ بهینه سازی شبکه عصبی MLP با الگوریتم جست و جوی خزنده(کروکدیل) RSA
❇️ Optimizing MLP using Reptile Search Algorithm

✳️ لینک مشاهده معرفی آموزش:
www.aparat.com/v/s59qo6h

مدت زمان کل آموزش: 1 ساعت
🚹 مدرس
ID: @hassan_saadatmand

#MLP #optimization
#neuralnetworks #RSA

✳️ آموزش متلب
🆔: www.tg-me.com/hk/MATLAB Learning/com.matlabanyone
www.aparat.com/matlablearning

BY MATLAB Learning




Share with your friend now:
tg-me.com/matlabanyone/671

View MORE
Open in Telegram


MATLAB Learning Telegram | DID YOU KNOW?

Date: |

Among the actives, Ascendas REIT sank 0.64 percent, while CapitaLand Integrated Commercial Trust plummeted 1.42 percent, City Developments plunged 1.12 percent, Dairy Farm International tumbled 0.86 percent, DBS Group skidded 0.68 percent, Genting Singapore retreated 0.67 percent, Hongkong Land climbed 1.30 percent, Mapletree Commercial Trust lost 0.47 percent, Mapletree Logistics Trust tanked 0.95 percent, Oversea-Chinese Banking Corporation dropped 0.61 percent, SATS rose 0.24 percent, SembCorp Industries shed 0.54 percent, Singapore Airlines surrendered 0.79 percent, Singapore Exchange slid 0.30 percent, Singapore Press Holdings declined 1.03 percent, Singapore Technologies Engineering dipped 0.26 percent, SingTel advanced 0.81 percent, United Overseas Bank fell 0.39 percent, Wilmar International eased 0.24 percent, Yangzijiang Shipbuilding jumped 1.42 percent and Keppel Corp, Thai Beverage, CapitaLand and Comfort DelGro were unchanged.

At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?

MATLAB Learning from hk


Telegram MATLAB Learning
FROM USA