#books channel📚📚
#python
#deep learning
- #CNN
- #LSTM
- #Capsulenet
#deep tools
- #keras
- #tensorflow
- #theano
#data_mining
- #slide
- #implementation
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🇯‌🇴‌🇮‌🇳 ↯

@Machine_learn

#آموزش

Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3

#Data_Augmentation #object_detection

قابل توجه وزیر محترم آقای آذریجهرمی :


To @azarijahromi,
I saw several applications for authentication in Sejam (سامانه سجام(. They record video along with voice. I didn't see any commitment from applications to say that we will not publish or release your video and information.... #سجام #GDPR

Dear @azarijahromi, are they familiar with GDPR?? How people will be sure that their data will be protected?? #biometric #authentication #data_privacy #داده_شخصی

https://twitter.com/jalilnkh/status/1267033053521739778?s=09

کانال :

https://xn--r1a.website/Machinelearning_Kartal

Great talk, I have listened twice. Happy birthday to you dear scientist Andrew Ng @andrewyng .

I completely agree with your comment. Most fields have been suffered because of fewer data. According to my little experience, It is hard to collect data for biometric recognition systems and for the structure of individual molecules. For sure there is a bunch of these applications which are not easy to collect more data. However, I would like to mention algorithm developments in terms of interpretability machine learning. We have great neural networks but we still cannot trust the existing methods in high-risk applications.



Again thank you scientist Andrew Ng. It is a great pleasure to watch your updates about AI.

Best Regards
Jalil Nourmohammadi Khiarak

#machinelearning #ai #datascience #deeplearning #deeplearning #artificialintelligence #neuralnetworks #neuralnetworks #data #bigdata #ml #thankyou #analytics #dataanalytics #algorithms #experience #biometrics #facerecognition #medicalimaging


https://www.youtube.com/watch?v=06-AZXmwHjo



کانال:
https://xn--r1a.website/Machinelearning_Kartal

Andrew Ng notes in Machine learning engineering for production about labeling data:

1- Options : In - house vs. outsourced vs. crowdsourced.
2- Having MLEs label data is expensive . But doing this for just a few days is usually fine .
3- Who is qualified to label ?
4- Don't increase data by more than 10x at a time.

I would say thank you for the best advice.

#machinelearning #engineering #data DeepLearning.AI
Workera
#deeplearning #ai #datascientist


کانالیمیزی جانلی یایین:

https://xn--r1a.website/Machinelearning_Kartal

فارسی 🇮🇷: یه کورس واسه دیتا ویژوالایز توی کورسرا چهار لایبرری مهم برای دیتا ویژوالایز گفته. که در لینکدین اشتراک گذاشتم. لایبرری های دیگه برای این منظور داریم؟
تۆرکجه 🇮🇷: دورد اونملی لایبرری دیتانی گورسدمک اۆچون. آیری سی دا واریمیز؟


https://www.linkedin.com/posts/jalilnkh_python-numpy-data-activity-7088480084575027201-tt9y?utm_source=share&utm_medium=member_android

کانالیمیزی جانلی یایین :
https://xn--r1a.website/Machinelearning_Kartal

فارسی: دنیا باید در پی حفظ زبان های در حال مرگ با استفاده از هوش مصنوعی. پرفسور ووکوسی می گوید 👇.

تۆرکجه: دونیا گرک آرادان گئدن دیلری یاپای ذکاء ایله قوروسون. پرفسور ووکوسی دان ائشیدک:👇

https://www.linkedin.com/posts/world-economic-forum_language-ai-languages-activity-7266435602047291392-hsTj?utm_source=share&utm_medium=member_android


پ.ن: در ایران هم بسیاری از زبان های در حال مرگ هستن مثله مازنی.


کانالیمیزی جانلی یایین:
https://xn--r1a.website/Machinelearning_Kartal