Intel Software254 тыс
Опубликовано 1 ноября 2025, 19:49
🧠 How does AI training actually work?
The fundamentals behind deep learning and fine-tuning—without overwhelming you with jargon.
•Why modern AI shifted from programming to learning from examples
•How neural networks detect features and learn through forward and backward passes
•Why training from scratch is compute-heavy—and how fine-tuning makes it practical
•The role of transfer learning and why Geti™ uses fine-tuning for speed and efficiency
What’s next: choosing the right model for your project
If you’ve ever wondered what happens “under the hood” when you train a model, this episode is your quick, clear guide.
Geti™get started:
docs.geti.intel.com
Geti™ on Github:
github.com/open-edge-platform/...
Find the full series here:
youtube.com/playlist?list=PLg-...
About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.
Connect with Intel Software:
INTEL SOFTWARE WEBSITE: intel.ly/2KeP1hD
INTEL SOFTWARE on FACEBOOK: bit.ly/2z8MPFF
INTEL SOFTWARE on TWITTER: bit.ly/2zahGSn
INTEL SOFTWARE GITHUB: bit.ly/2zaih6z
INTEL DEVELOPER ZONE LINKEDIN: bit.ly/2z979qs
INTEL DEVELOPER ZONE INSTAGRAM: bit.ly/2z9Xsby
INTEL GAME DEV TWITCH: bit.ly/2BkNshu
#intelsoftware
How AI Training Works – Deep Learning & Fine-Tuning Explained | Geti™ | Intel Software
The fundamentals behind deep learning and fine-tuning—without overwhelming you with jargon.
•Why modern AI shifted from programming to learning from examples
•How neural networks detect features and learn through forward and backward passes
•Why training from scratch is compute-heavy—and how fine-tuning makes it practical
•The role of transfer learning and why Geti™ uses fine-tuning for speed and efficiency
What’s next: choosing the right model for your project
If you’ve ever wondered what happens “under the hood” when you train a model, this episode is your quick, clear guide.
Geti™get started:
docs.geti.intel.com
Geti™ on Github:
github.com/open-edge-platform/...
Find the full series here:
youtube.com/playlist?list=PLg-...
About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.
Connect with Intel Software:
INTEL SOFTWARE WEBSITE: intel.ly/2KeP1hD
INTEL SOFTWARE on FACEBOOK: bit.ly/2z8MPFF
INTEL SOFTWARE on TWITTER: bit.ly/2zahGSn
INTEL SOFTWARE GITHUB: bit.ly/2zaih6z
INTEL DEVELOPER ZONE LINKEDIN: bit.ly/2z979qs
INTEL DEVELOPER ZONE INSTAGRAM: bit.ly/2z9Xsby
INTEL GAME DEV TWITCH: bit.ly/2BkNshu
#intelsoftware
How AI Training Works – Deep Learning & Fine-Tuning Explained | Geti™ | Intel Software
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