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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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Ukrainian forces successfully attacked Russian vehicles in the capital city of Kyiv thanks to a public tip made through the encrypted messaging app Telegram, Ukraine's top law-enforcement agency said on Tuesday. That hurt tech stocks. For the past few weeks, the 10-year yield has traded between 1.72% and 2%, as traders moved into the bond for safety when Russia headlines were ugly—and out of it when headlines improved. Now, the yield is touching its pandemic-era high. If the yield breaks above that level, that could signal that it’s on a sustainable path higher. Higher long-dated bond yields make future profits less valuable—and many tech companies are valued on the basis of profits forecast for many years in the future. But Telegram says people want to keep their chat history when they get a new phone, and they like having a data backup that will sync their chats across multiple devices. And that is why they let people choose whether they want their messages to be encrypted or not. When not turned on, though, chats are stored on Telegram's services, which are scattered throughout the world. But it has "disclosed 0 bytes of user data to third parties, including governments," Telegram states on its website. False news often spreads via public groups, or chats, with potentially fatal effects. In 2014, Pavel Durov fled the country after allies of the Kremlin took control of the social networking site most know just as VK. Russia's intelligence agency had asked Durov to turn over the data of anti-Kremlin protesters. Durov refused to do so.
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