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دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات (8)
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دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات (9)
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دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات (10)
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دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات (11)
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دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات (12)
اتمام دوره پاییزه
دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات 🖕🖕🖕🖕🖕
دوره پاییزه یادگیری عمیق؛ پژوهشگاه ارتباطات و فناوری اطلاعات 🖕🖕🖕🖕🖕
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ارائه تئوری شبکه کپسول پرفسور جفری هینتون توسط Aurélien Géron
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پیاده سازی شبکه کپسول پرفسور هینتون با تنسور فلو در پایتون توسط Aurélien Géron
چند کنفرانس و ژورنال معتبر در زمینه بینایی کامپیوتر و پردازش تصویر
عدد اول نشان دهنده h5-index و عدد دوم h5-median
1. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 158 237
2. arXiv Computer Vision and Pattern Recognition (cs.CV) 137 242
3. IEEE Transactions on Pattern Analysis and Machine Intelligence 114 197
4. IEEE Transactions on Image Processing 102 148
5. European Conference on Computer Vision 98 167
6. IEEE International Conference on Computer Vision, ICCV 89 129
7. Pattern Recognition 71 95
8. International Journal of Computer Vision 68 122
9. Medical Image Analysis 54 74
10. Pattern Recognition Letters 52 71
11. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 45 80
12. British Machine Vision Conference (BMVC) 43 86
13. Computer Vision and Image Understanding 41 62
14. Image and Vision Computing 38 65
15. Journal of Visual Communication and Image Representation 36 51
16. Asian Conference on Computer Vision (ACCV) 35 52
17. IEEE International Conference on Image Processing (ICIP) 34 46
18. International Conference on Pattern Recognition 34 44
19. Workshop on Applications of Computer Vision (WACV) 31 51
20. Machine Vision and Applications 31 48
عدد اول نشان دهنده h5-index و عدد دوم h5-median
1. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 158 237
2. arXiv Computer Vision and Pattern Recognition (cs.CV) 137 242
3. IEEE Transactions on Pattern Analysis and Machine Intelligence 114 197
4. IEEE Transactions on Image Processing 102 148
5. European Conference on Computer Vision 98 167
6. IEEE International Conference on Computer Vision, ICCV 89 129
7. Pattern Recognition 71 95
8. International Journal of Computer Vision 68 122
9. Medical Image Analysis 54 74
10. Pattern Recognition Letters 52 71
11. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 45 80
12. British Machine Vision Conference (BMVC) 43 86
13. Computer Vision and Image Understanding 41 62
14. Image and Vision Computing 38 65
15. Journal of Visual Communication and Image Representation 36 51
16. Asian Conference on Computer Vision (ACCV) 35 52
17. IEEE International Conference on Image Processing (ICIP) 34 46
18. International Conference on Pattern Recognition 34 44
19. Workshop on Applications of Computer Vision (WACV) 31 51
20. Machine Vision and Applications 31 48
دوره آموزشی ماشین های پرنده
Hi Jalil,
This is Sebastian Thrun. I’m writing to invite you to become part of the next generation of Flying Car engineers that are going to change the world. I am working with amazing instructors to build our Flying Car Nanodegree program, and I promise you, with the skills you’re going to learn, you will be a leading force in creating the smart transportation vehicles and systems that will make our future a better and safer place.
We know there are challenges on our roads. That’s why we started developing self-driving cars. They are going to solve so many things. But we must think even bigger. We must see the opportunity that flight gives us.
When you experience our curriculum, and you learn from our instructors, you will see the future. You can be a pioneer in changing how we move, how we travel, how we live. I believe technology enhances our abilities. It gives us superpowers. What is more amazing than flying?
Don’t miss this chance to be a leader in this amazing field. Apply now to the program. Applications are due at 11:59 p.m. PT on February 7.
If you have any questions, please reply to this message to reach the Flying Car Nanodegree program team.
See you in the classroom,
Sebastian Thrun
Founder, Udacity
اپلای برای شروع یادگیری از طریق سایت زیر
https://www.udacity.com/course/flying-car-nanodegree--nd787?utm_medium=email&utm_campaign=acq_300_2018-02-05_nd787_launch-broad-3&utm_source=blueshift&utm_content=acq_300_2018-02-05_nd787_launch-broad-3&bsft_eid=77f2f189-e9aa-450c-adff-f7bb35bfe011&bsft_clkid=90902315-807c-49e8-b42f-a3097087f1d1&bsft_uid=4c651bb3-ed81-427a-a352-decfb914f85e&bsft_mid=a05787ab-774f-4423-82a6-a9ec61d2ff4c
Hi Jalil,
This is Sebastian Thrun. I’m writing to invite you to become part of the next generation of Flying Car engineers that are going to change the world. I am working with amazing instructors to build our Flying Car Nanodegree program, and I promise you, with the skills you’re going to learn, you will be a leading force in creating the smart transportation vehicles and systems that will make our future a better and safer place.
We know there are challenges on our roads. That’s why we started developing self-driving cars. They are going to solve so many things. But we must think even bigger. We must see the opportunity that flight gives us.
When you experience our curriculum, and you learn from our instructors, you will see the future. You can be a pioneer in changing how we move, how we travel, how we live. I believe technology enhances our abilities. It gives us superpowers. What is more amazing than flying?
Don’t miss this chance to be a leader in this amazing field. Apply now to the program. Applications are due at 11:59 p.m. PT on February 7.
If you have any questions, please reply to this message to reach the Flying Car Nanodegree program team.
See you in the classroom,
Sebastian Thrun
Founder, Udacity
اپلای برای شروع یادگیری از طریق سایت زیر
https://www.udacity.com/course/flying-car-nanodegree--nd787?utm_medium=email&utm_campaign=acq_300_2018-02-05_nd787_launch-broad-3&utm_source=blueshift&utm_content=acq_300_2018-02-05_nd787_launch-broad-3&bsft_eid=77f2f189-e9aa-450c-adff-f7bb35bfe011&bsft_clkid=90902315-807c-49e8-b42f-a3097087f1d1&bsft_uid=4c651bb3-ed81-427a-a352-decfb914f85e&bsft_mid=a05787ab-774f-4423-82a6-a9ec61d2ff4c
Udacity
Flying Cars and Autonomous Flight | Udacity
Master job-ready autonomous flight software engineering skills as you tackle advanced challenges, write real code for real aircraft, and develop a systems understanding of the Flying Car full-stack.
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مقدمه ای بر ماشین های پرنده از سایت www.udacity.com/course نگاه کنید اگه علاقه دارین در کلاس اموزشی انلاین اش شرکت کنید.
پیش نیاز های کلاس اموزشی ماشین های پرنده
To optimize your chances for a successful application to our Flying Car Nanodegree program, we’ve created a list of prerequisites and recommendations to help prepare you for the program curriculum. Prior to applying, you should have the following knowledge:
Substantial experience programming in any language
Intermediate-level programming experience in Python or willingness to learn
Intermediate-level programming experience in C++ or willingness to learn (including knowledge of memory allocation, classes, and references)
Basic Linear algebra
Calculus (derivatives and integrals)
Probability and statistics (mean, variance, and probability distributions)
Basic Physics (basic mechanics including knowledge of kinematics, dynamics, and torque)
Students with a limited background in programming, math, or machine learning are encouraged to enroll in the Intro to Self-Driving Cars Nanodegree Program to help them prepare. Graduates of this introductory program earn guaranteed admission to the Flying Car Nanodegree Program.
To optimize your chances for a successful application to our Flying Car Nanodegree program, we’ve created a list of prerequisites and recommendations to help prepare you for the program curriculum. Prior to applying, you should have the following knowledge:
Substantial experience programming in any language
Intermediate-level programming experience in Python or willingness to learn
Intermediate-level programming experience in C++ or willingness to learn (including knowledge of memory allocation, classes, and references)
Basic Linear algebra
Calculus (derivatives and integrals)
Probability and statistics (mean, variance, and probability distributions)
Basic Physics (basic mechanics including knowledge of kinematics, dynamics, and torque)
Students with a limited background in programming, math, or machine learning are encouraged to enroll in the Intro to Self-Driving Cars Nanodegree Program to help them prepare. Graduates of this introductory program earn guaranteed admission to the Flying Car Nanodegree Program.
یکی از بهترین راه هایی که می شه گفت یادگیری ماشین و یادگیری عمیق رو باهاش شروع کرد سایت زیر می باشد که متعلق به دانشگاه استنفورد می باشد.
http://deeplearning.stanford.edu/tutorial/
http://deeplearning.stanford.edu/tutorial/
‼️ گروه تلگرامی اکوسیستم استارتاپی و کارآفرینان‼️
🔆Startup Friends
🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻
اکوسیستم کارآفرینی و استارتاپی محلی برای توسعه و گسترش کارآفرینی و نوآوری،برگزاری کارگاههای آموزشی،سمینارهای مجازی #رایگان، رویداد، تولید محتوا و ایجاد همافزایی بین فعالان استارتاپی کشور میباشد
🔴با ما همراه باشید در بزرگ ترین گروه استارتاپی شمال غرب کشور
👇👇👇👇👇👇👇👇👇👇👇👇
https://news.1rj.ru/str/joinchat/BZoEOEE-hMkG2mUZRWNBkA
🔆Startup Friends
🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻
اکوسیستم کارآفرینی و استارتاپی محلی برای توسعه و گسترش کارآفرینی و نوآوری،برگزاری کارگاههای آموزشی،سمینارهای مجازی #رایگان، رویداد، تولید محتوا و ایجاد همافزایی بین فعالان استارتاپی کشور میباشد
🔴با ما همراه باشید در بزرگ ترین گروه استارتاپی شمال غرب کشور
👇👇👇👇👇👇👇👇👇👇👇👇
https://news.1rj.ru/str/joinchat/BZoEOEE-hMkG2mUZRWNBkA
Telegram
Startup friends
💥به بزرگترین جامعه مجازی اکوسیستم کارآفرینی و استارتاپی شمالغرب کشور خوش آمدید💥
اینجا محلی برای توسعه و گسترش کارآفرینی و نوآوری، از طریق برگزاری کارگاههای آموزشی، رویداد، تولید محتوا و ایجاد همافزایی بین فعالان استارتاپی کشور میباشد.
اینجا محلی برای توسعه و گسترش کارآفرینی و نوآوری، از طریق برگزاری کارگاههای آموزشی، رویداد، تولید محتوا و ایجاد همافزایی بین فعالان استارتاپی کشور میباشد.
کشف سیستم پچینگ جدید برای امنیت اینترنت اشیا
In the Know About Nodes? Exploring a New Patching System for Securing the IoT
Dec 20, 2017
Fixing individual IoT devices infected by malware may not be the best solution to a widespread cyberattack.
IoT devices are prime targets for hackers. They are connected to multiple devices and often have weak security measures. To address this problem, researchers created a system to strengthen the cyber security in wireless networks connected to IoT devices.
The key is a new traffic-aware patching scheme that focuses on fixing critical intermediate nodes before an infected device has time to transmit its virus to a wireless network.
ادامه در منبع زیر:
http://ieeexplore-spotlight.ieee.org/article/traffic-aware-patching-intermediate-nodes-cyber-security-iot-devices/
In the Know About Nodes? Exploring a New Patching System for Securing the IoT
Dec 20, 2017
Fixing individual IoT devices infected by malware may not be the best solution to a widespread cyberattack.
IoT devices are prime targets for hackers. They are connected to multiple devices and often have weak security measures. To address this problem, researchers created a system to strengthen the cyber security in wireless networks connected to IoT devices.
The key is a new traffic-aware patching scheme that focuses on fixing critical intermediate nodes before an infected device has time to transmit its virus to a wireless network.
ادامه در منبع زیر:
http://ieeexplore-spotlight.ieee.org/article/traffic-aware-patching-intermediate-nodes-cyber-security-iot-devices/
IEEE Xplore
Traffic-Aware Patching for IoT Device Cyber Security
A traffic-aware patching scheme of intermediate nodes could greatly improve the cyber security of wireless networks connected to IoT devices.
مجموعه کارهای اصلی که در حوضه دیپ لرنینگ و سگمنتیشن انجام شده ۴ تاست ک یکیش faster rcnn هست که در بالا کدش رو گفتم. یکم باید تغییرات بدین ک به صورت سگمنتیشن عمل کنه براتون کدش. مقالات اصلی این هاست:
R-CNN: https://arxiv.org/abs/1311.2524
Fast R-CNN: https://arxiv.org/abs/1504.08083 (https://github.com/smallcorgi/Faster-RCNN_TF)
Faster R-CNN: https://arxiv.org/abs/1506.01497
Mask R-CNN: https://arxiv.org/abs/1703.06870
بهترین و جدید ترین مدل Mask RCNN
هست که اونم پیاده سازی تنسور فلوش در لینک زیر موجوده:
https://github.com/matterport/Mask_RCNN
گرد اورنده:
Mahdi Abolfazli
R-CNN: https://arxiv.org/abs/1311.2524
Fast R-CNN: https://arxiv.org/abs/1504.08083 (https://github.com/smallcorgi/Faster-RCNN_TF)
Faster R-CNN: https://arxiv.org/abs/1506.01497
Mask R-CNN: https://arxiv.org/abs/1703.06870
بهترین و جدید ترین مدل Mask RCNN
هست که اونم پیاده سازی تنسور فلوش در لینک زیر موجوده:
https://github.com/matterport/Mask_RCNN
گرد اورنده:
Mahdi Abolfazli
GitHub
GitHub - smallcorgi/Faster-RCNN_TF: Faster-RCNN in Tensorflow
Faster-RCNN in Tensorflow. Contribute to smallcorgi/Faster-RCNN_TF development by creating an account on GitHub.
برای دوستانی که از انتظار داوری ژورنال خسته شدن 😊😊😊😊
_
↪️ بازپس گیری مقاله
💬 پرسش:
نزدیک به سه ماه است که وضعیت مقاله هنوز طوری هست که ادیتور حتی به دستش نرسیده. دوبار هم ایمیل زدم اما فقط یکبار جواب گرفتم که در ایام کریسمس بود و ادیتور اذعان داشت که در محل کار نیست. ایمیل دوم هم پاسخ داده نشد. آیا بهتر هست از پروسه خارج کنم مقاله رو؟ اگر مثبت هست، چطور میشه ؟
✅ پاسخ:
باتوجه به پاسخگویی سردبیر پیشنهاد میشود صبر نمایید
به هرصورت برای بازپس گیری مقاله لازم است درخواست خود را برای سردبیر ارسال و موافقت و تاییدیه وی را دریافت نمایید.
▪️ نمونه متن نامه درخواست بازپس گیری مقاله
Dear Mr. XXX [Editors Name],
I would like to withdraw my manunoscript noscriptd XXXX [Title of paper] from further consideration by your journal. The manunoscript ID is XXXX and the date of submission was XXXX.
Please confirm that the withdrawal process is complete. I apologize for any inconvenience caused.
Sincerely,
XXXX [Your name and contact details]
🔹 منبع :
کانال ایمپکت فاکتور
_
_
↪️ بازپس گیری مقاله
💬 پرسش:
نزدیک به سه ماه است که وضعیت مقاله هنوز طوری هست که ادیتور حتی به دستش نرسیده. دوبار هم ایمیل زدم اما فقط یکبار جواب گرفتم که در ایام کریسمس بود و ادیتور اذعان داشت که در محل کار نیست. ایمیل دوم هم پاسخ داده نشد. آیا بهتر هست از پروسه خارج کنم مقاله رو؟ اگر مثبت هست، چطور میشه ؟
✅ پاسخ:
باتوجه به پاسخگویی سردبیر پیشنهاد میشود صبر نمایید
به هرصورت برای بازپس گیری مقاله لازم است درخواست خود را برای سردبیر ارسال و موافقت و تاییدیه وی را دریافت نمایید.
▪️ نمونه متن نامه درخواست بازپس گیری مقاله
Dear Mr. XXX [Editors Name],
I would like to withdraw my manunoscript noscriptd XXXX [Title of paper] from further consideration by your journal. The manunoscript ID is XXXX and the date of submission was XXXX.
Please confirm that the withdrawal process is complete. I apologize for any inconvenience caused.
Sincerely,
XXXX [Your name and contact details]
🔹 منبع :
کانال ایمپکت فاکتور
_
اگه شرایط زیر را دارید در زمینه مهندسی داده اپلای کنید
اگه اکانت لینکدین ندارید اکانت بسازید.
Data Scientist - Deep Learning (Evidence Lab)
Company Name UBS Company LocationKraków, PL
Be an early applicant
Save Save Data Scientist - Deep Learning (Evidence Lab) at UBS
Apply Apply to Data Scientist - Deep Learning (Evidence Lab) on company website
Job denoscription
Job Reference #
152453BR
City
Kraków
Job Type
Full Time
Your role
Do you have sharp analytic skills? Do you know how to solve problems? Do you know how to develop innovative solutions? We’re looking for someone like that who can
turn structured and unstructured (text, images) data into an asset across the organization
apply experience and expertise in statistics, machine learning and deep learning using frameworks such as Tensor Flow, Keras, Theano, PyTorch, and environments like R, Python
rapidly perform Data Science analysis to provide insights using a variety of techniques
combine data from multiple sources, analyze it for insights and produce great visuals
stay on top of current business and industry trends
perform full life-cycle of Data Scientist activities, including conceptual and operational
manage end to end research projects – clarify research requirements and devise research approaches
Your team
You’ll be working in the UBS Research team in Zabierzow (Krakow Business Park). We are in the process of building a street-leading primary research platform called Evidence Lab. At the heart of this project is the ability to systematically analyze and build statistical and machine learning models on companies and markets that we do research on. We are looking for talented and experienced Data Scientists to work in partnership with the Evidence Lab and Research. You can learn more about Evidence Lab here.
Your Experience And Skills
You have
strong analytical and problem-solving skills
a passion for research
experience in deep learning field, especially in natural language processing area (topic modeling, text labeling, sentiment analysis, automatic text summarization, text translation)
strong knowledge and demonstrated experience of different deep learning (neural network) architectures (RNN, CNN, LSTM, GAN) and frameworks (Tensor Flow, Keras, Theano, PyTorch)
familiarity and experience of a variety of data science algorithms such as regression techniques, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques and dimensionality reduction
programming experience with any of several languages with emphasis on Python, R, Java
familiarity with visualizing results
منبع:
https://www.linkedin.com/jobs/view/550940808/
اگه اکانت لینکدین ندارید اکانت بسازید.
Data Scientist - Deep Learning (Evidence Lab)
Company Name UBS Company LocationKraków, PL
Be an early applicant
Save Save Data Scientist - Deep Learning (Evidence Lab) at UBS
Apply Apply to Data Scientist - Deep Learning (Evidence Lab) on company website
Job denoscription
Job Reference #
152453BR
City
Kraków
Job Type
Full Time
Your role
Do you have sharp analytic skills? Do you know how to solve problems? Do you know how to develop innovative solutions? We’re looking for someone like that who can
turn structured and unstructured (text, images) data into an asset across the organization
apply experience and expertise in statistics, machine learning and deep learning using frameworks such as Tensor Flow, Keras, Theano, PyTorch, and environments like R, Python
rapidly perform Data Science analysis to provide insights using a variety of techniques
combine data from multiple sources, analyze it for insights and produce great visuals
stay on top of current business and industry trends
perform full life-cycle of Data Scientist activities, including conceptual and operational
manage end to end research projects – clarify research requirements and devise research approaches
Your team
You’ll be working in the UBS Research team in Zabierzow (Krakow Business Park). We are in the process of building a street-leading primary research platform called Evidence Lab. At the heart of this project is the ability to systematically analyze and build statistical and machine learning models on companies and markets that we do research on. We are looking for talented and experienced Data Scientists to work in partnership with the Evidence Lab and Research. You can learn more about Evidence Lab here.
Your Experience And Skills
You have
strong analytical and problem-solving skills
a passion for research
experience in deep learning field, especially in natural language processing area (topic modeling, text labeling, sentiment analysis, automatic text summarization, text translation)
strong knowledge and demonstrated experience of different deep learning (neural network) architectures (RNN, CNN, LSTM, GAN) and frameworks (Tensor Flow, Keras, Theano, PyTorch)
familiarity and experience of a variety of data science algorithms such as regression techniques, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques and dimensionality reduction
programming experience with any of several languages with emphasis on Python, R, Java
familiarity with visualizing results
منبع:
https://www.linkedin.com/jobs/view/550940808/
منبع خوب برای یادگیری برنامه نویسی زبان پایتون
https://www.datacamp.com/courses/intro-to-python-for-data-science
دورههای #دیتاکمپ
https://www.datacamp.com/courses/intro-to-python-for-data-science
دورههای #دیتاکمپ
Datacamp
Introduction to Python Course | DataCamp
Discover how to use Python for data science in this four-hour course. Learn how you can use Python to store and manipulate data before you move on to analysis.