#آسیب_پذیری
#فایر_فاکس
@pythonicAi

https://github.com/soroushhashemifar/Multi-Layered-Perceptron

https://github.com/mnielsen/neural-networks-and-deep-learning

پیاده سازی شبکه عصبی و یادگیری عمیق از پایه و بدون استفاده از کتابخانه های سطح بالا

#deeplearning #machinelearning #artificialintelligence

@pythonicAi

🔸دوره روز چهارم #مهمانی_آموزشی یه دوره هنریه اما نه مثل همه هنرهای متداولی که می شناسیم.

✨ می‌شه گفت یادگیری ماشین و علم داده(Data Science) معجزه قرن ۲۱ هست. در دوره آموزش علم داده چگونگی حل مسئله با استفاده از علوم داده (Data Science) به شما آموزش داده می‌شه.

✅ محتوای دوره‌ی آموزش هنر حل مسئله با داده رو می‌تونین با این کد تخفیف رایگان دریافت کنین:

📊 کد تخفیف ۱۰۰٪: dtslcnt 📊

⚠️ ویژه‌ی دریافت محتوا

📌 نکته‌ی خیلی مهم: فقط تا فردا ساعت ۱۲ ظهر فرصت دارین از این کد استفاده کنین.

به دوستانتون خبر بدین!

👈 می‌خوام دیتا ساینس یاد بگیرم!
⭕️ https://mktb.me/0m9s ⭕️
@maktabkhooneh

Audio Deep Learning Made Simple: Automatic Speech Recognition (ASR), How it Works


Speech-to-Text algorithm and architecture, including Mel Spectrograms, MFCCs, CTC Loss and Decoder, in Plain English

Link

#machinelearning #deeplearning #speechrecognition #ctcloss

@pythonicAi

1. Prime Day Predictions From One Of Amazon’s Largest Third-Party Sellers And Newly Minted Unicorn, Perch. (1 hour ago)
https://www.forbes.com/sites/garydrenik/2021/06/02/prime-day-predictions-from-one-of-amazons-largest-third-party-sellers-and-newly-minted-unicorn-perch/

2. Machine Learning Is Not A 'Better Horse' (3 hours ago)
https://www.forbes.com/sites/forbestechcouncil/2021/06/02/machine-learning-is-not-a-better-horse/

3. 16 Trinity Challenge Finalists Hold Out Hope For Future Pandemic Management (23 hours ago)
https://www.forbes.com/sites/nigelwilson/2021/06/01/16-trinity-challenge-finalists-hold-out-hope-for-future-pandemic-management/

4. Why Do Board Directors And CEO’s Need To Value Sustainability And AI Relevance? (May 31, 2021)
https://www.forbes.com/sites/cindygordon/2021/05/31/why-do-board-directors-and-ceos-need-to-value-sustainability-and-ai-relevance/

5. Making AI Sing: An Interview With Verphoria On The Use Of Artificial Intelligence Within The Music Industry (May 31, 2021)
https://www.forbes.com/sites/anniebrown/2021/05/31/making-ai-sing-an-interview-with-verphoria-on-the-use-of-artificial-intelligence-within-the-music-industry/

6. The Five Ways To Build Machine Learning Models (May 30, 2021)
https://www.forbes.com/sites/cognitiveworld/2021/05/30/the-five-ways-to-build-machine-learning-models/

7. On Thinking Machines, Machine Learning, And How AI Took Over Statistics (May 28, 2021)
https://www.forbes.com/sites/gilpress/2021/05/28/on-thinking-machines-machine-learning-and-how-ai-took-over-statistics/

8. Korea's Riiid raises $175M from SoftBank to expand its AI-based learning platform to global markets (May 24, 2021)
https://techcrunch.com/2021/05/24/riiid-ai-education-softbank/

9. Google Revamps Its Cloud-Based Machine Learning Platform Yet Again (May 19, 2021)
https://www.forbes.com/sites/janakirammsv/2021/05/19/google-revamps-its-cloud-based-machine-learning-platform-yet-again/

10. Why MLOps Is Critical To The Future Of Your Business (May 19, 2021)
https://www.forbes.com/sites/googlecloud/2021/05/19/why-mlops-is-critical-to-the-future-of-your-business/

11. Google Cloud launches Vertex AI, a new managed machine learning platform (May 18, 2021)
https://techcrunch.com/2021/05/18/google-cloud-launches-vertex-a-new-managed-machine-learning-platform/

12. Google Analytics prepares for life after cookies (May 13, 2021)
https://techcrunch.com/2021/05/13/google-analytics-prepares-for-life-after-cookies/

13. AI is ready to take on a massive healthcare challenge (May 6, 2021)
https://techcrunch.com/2021/05/06/ai-is-ready-to-take-on-a-massive-healthcare-challenge/

14. Computer vision inches toward 'common sense' with Facebook's latest research (April 30, 2021)
https://techcrunch.com/2021/04/30/computer-vision-inches-towards-common-sense-with-facebooks-latest-research/

#machinelearning

@pythonicAI

Online Berkeley Deep Learning Lectures 2021

University of Berkeley released its fresh course lectures online for everyone to watch. Welcome Berkeley CS182/282 Deep Learnings - 2021!

Link

#machinelearning #deeplearning #course #mooc #berkeley

@pythonicAi

🔷سومین دوره مجموعه سخنرانی‌های دانشجویی علم داده و هوش مصنوعی امیرکبیر (AAISS 2021)

📣به شرکت کنندگان گواهی حضور در رویداد اعطا می شود.

📅کارگاه‌ها: ۳ الی ۷ شهریور
📅ارائه ها: ۹ الی ۱۲ شهریور


اطلاعات بیشتر و ثبت نام:
🔗https://aaiss.ce.aut.ac.ir

@aaiss_aut
@ceit_ssc

Routing Table

The key idea behind the Convolutional Neural Nets:

The ability of learning networks can be greatly enhanced by providing constraints from the task domain.

Link

#deeplearning #convolution #neuralnetwork #machinelearning #article

@pythonicAi

Textless NLP: Generating expressive speech from raw audio

Generative Spoken Language Model (GSLM), the first high-performance NLP model that leverages recent breakthroughs in representation learning, allowing it to work directly from only raw audio signals, without any labels or text.

Link

#deeplearning #nlp #selfsupervised #facebook

@pythonicAi

CS234: Reinforcement Learning | Winter 2019 Lecture Series | Stanford

Link

#reinforcementlearning #machinelearning #course #stanford

@pythonicAi

CS229: Machine Learning | Summer 2020 Lecture Series | Stanford

Link

#machinelearning #course #stanford

@pythonicAi

Will AI Make You Faster/Smarter/Stronger ... Or Just Replace You?

There's always a third option, the one Elon Musk worries about. That is, of course, Skynet.

But AI is already here, even if it’s not self-aware. And we’re adding more of it every day to our homes, our offices, our workplaces, and our cities.

For instance, an AI radiologist is unlikely to be able to converse with a patient, question the source of the data it is looking at, seek tangential possibilities, or interface with doctors. But a radiologist using AI could be smarter and faster, freeing up more time for both deeper human connection and additional work.

Read more

#artificialintelligence #skynet #article

@pythonicAi

Reinforcement Learning Lecture Series 2021 | UCL x DeepMind

Link

#reinforcementlearning #machinelearning #course #deepmind

@pythonicAi

فرصت مناسب آموزش و استخدام در یکی از بزرگترین شرکت‌های امنیتی

📍 تهران

اگه دوست دارین👇🏼👇🏼👇🏼

✅ مسیر شغلیتون تو حوزه امنیت باشه
✅ توی حوزه شغلیتون حرفه‌ای بشین
✅ همکارا و هم‌تیمی‌های خوبی داشته باشین

👈🏼👈🏼 رزومه‌اتون رو به آدرس ایمیل Talents@apk-group.net بفرستین.

🗓 مهلت ارسال رزومه: ۳۱ شهریور

☎️ 42273 - 021

💡امن پردازان کویر | امنیت اطلاعات | امنیت شبکه

🔗 www.apk-group.net

📸 https://instagram.com/apkgroup_ir

​​SwinIR: Image Restoration Using Swin Transformer

Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy, and compressed images). While state-of-the-art image restoration methods are based on convolutional neural networks, few attempts have been made with Transformers, which show impressive performance on high-level vision tasks.

The authors use a model SwinIR based on the Swin Transformers. Experimental results demonstrate that SwinIR outperforms state-of-the-art methods on different tasks (image super-resolution, image denoising, and JPEG compression artifact reduction) by up to 0.14~0.45dB, while the total number of parameters can be reduced by up to 67%.

Paper

Code

detailed overview

#deeplearning #transformer #computervision

@pythonicAi

​​Summarizing Books with Human Feedback

OpenAI fine-tuned GPT3 to summarize books well enough to be human-readable. Main approach: recursively split text into parts and then meta-summarize summaries.

This is really important because once there will be a great summarization SOTA we won't need editors to write posts for you. And researchers ultimatively will have some asisstance interpreting models' results.

Read more
ArXiV

#deeplearning #nlp #gpt #transformer

@pythonicAi

کامپیوتر مثل سیستم تهویه هوا میمونه
وقتی پنجره(windows) رو باز میکنی کاملا بی مصرف میمونه!

#سخن_بزرگان
@pythonicAI

Hi,

I hope you are doing well. We are the organizers of the Frankfurt Data Science Meetup group and we organize meetups, webinars, and other cool stuff in our free time. Over the last few months, we’ve been involved with an educational initiative “AI for Earth Monitoring” created by EUMETSAT where they offer a 6 week online course hosted on FutureLearn, about machine learning using imagery datasets from Sentinel satellites. It starts October 18th, 2021 and is completely free! We got about 2k registrations so far, but would be happy if you could share about this course with your own community.

Here is the FutureLearn link to the course:

https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring

Please let me know if you have any questions!

Cheers!