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📌 Mastering PyTorch

آموزش کامل PyTorch از مبانی تا تکنیک‌های پیشرفته یادگیری عمیق، شامل پیاده‌سازی شبکه‌های عصبی مختلف، بهینه‌سازی مدل‌ها، استفاده از Transfer Learning و مدیریت داده‌ها در کاربردهای طبقه‌بندی و پیش‌بینی.

👥 مدرس دوره:
عبدالسلام نیک‌کردار: توسعه‌دهنده هوش مصنوعی در شرکت Avitec

📟 محتوای دوره:

- An Introduction to PyTorch and Tensors
- Autograd and Backpropagation
- Gradient Descent and Optimizers
- Training a Simple Neural Networks
- Implementing Linear and Logistic Regression
- Dataset and Data Loaders
- Activation Functions (Softmax & Cross-Entropy Loss)
- Feed-Forward Neural Networks
- Convolutional Neural Networks
- Transfer Learning
- Tensorboard
- Exporting and Loading Models

📆 زمان برگزاری: ۲۴ آبان الی ۲۹ آذر ۱۴۰۳

پنجشنبه ساعت ۱۶ الی ۱۸

💰قیمت دوره: ۳۰۰/۰۰۰ تومان

تخفیف ۱۰٪ ویژه دانشجویان دانشگاه علم و صنعت ایران
تخفیف ۲۵٪ ویژه اعضای افتخاری انجمن علمی علوم کامپیوتر

🔗 برای کسب اطلاعات بیشتر و ثبت‌نام با ما در ارتباط باشید.

#دوره

🌐 Bits Learn | CSSA IUST | LinkedIn



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📌 Mastering PyTorch

آموزش کامل PyTorch از مبانی تا تکنیک‌های پیشرفته یادگیری عمیق، شامل پیاده‌سازی شبکه‌های عصبی مختلف، بهینه‌سازی مدل‌ها، استفاده از Transfer Learning و مدیریت داده‌ها در کاربردهای طبقه‌بندی و پیش‌بینی.

👥 مدرس دوره:
عبدالسلام نیک‌کردار: توسعه‌دهنده هوش مصنوعی در شرکت Avitec

📟 محتوای دوره:

- An Introduction to PyTorch and Tensors
- Autograd and Backpropagation
- Gradient Descent and Optimizers
- Training a Simple Neural Networks
- Implementing Linear and Logistic Regression
- Dataset and Data Loaders
- Activation Functions (Softmax & Cross-Entropy Loss)
- Feed-Forward Neural Networks
- Convolutional Neural Networks
- Transfer Learning
- Tensorboard
- Exporting and Loading Models

📆 زمان برگزاری: ۲۴ آبان الی ۲۹ آذر ۱۴۰۳

پنجشنبه ساعت ۱۶ الی ۱۸

💰قیمت دوره: ۳۰۰/۰۰۰ تومان

تخفیف ۱۰٪ ویژه دانشجویان دانشگاه علم و صنعت ایران
تخفیف ۲۵٪ ویژه اعضای افتخاری انجمن علمی علوم کامپیوتر

🔗 برای کسب اطلاعات بیشتر و ثبت‌نام با ما در ارتباط باشید.

#دوره

🌐 Bits Learn | CSSA IUST | LinkedIn

BY Bits Learn




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Right now the digital security needs of Russians and Ukrainians are very different, and they lead to very different caveats about how to mitigate the risks associated with using Telegram. For Ukrainians in Ukraine, whose physical safety is at risk because they are in a war zone, digital security is probably not their highest priority. They may value access to news and communication with their loved ones over making sure that all of their communications are encrypted in such a manner that they are indecipherable to Telegram, its employees, or governments with court orders. Telegram does offer end-to-end encrypted communications through Secret Chats, but this is not the default setting. Standard conversations use the MTProto method, enabling server-client encryption but with them stored on the server for ease-of-access. This makes using Telegram across multiple devices simple, but also means that the regular Telegram chats you’re having with folks are not as secure as you may believe. On February 27th, Durov posted that Channels were becoming a source of unverified information and that the company lacks the ability to check on their veracity. He urged users to be mistrustful of the things shared on Channels, and initially threatened to block the feature in the countries involved for the length of the war, saying that he didn’t want Telegram to be used to aggravate conflict or incite ethnic hatred. He did, however, walk back this plan when it became clear that they had also become a vital communications tool for Ukrainian officials and citizens to help coordinate their resistance and evacuations. Lastly, the web previews of t.me links have been given a new look, adding chat backgrounds and design elements from the fully-features Telegram Web client. "And that set off kind of a battle royale for control of the platform that Durov eventually lost," said Nathalie Maréchal of the Washington advocacy group Ranking Digital Rights.
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