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Applying Neural Networks: A Guide to Pre-trained Models
Unlock the power of pre-trained models. This course will teach you how to use and fine-tune pre-trained models for a range of applications, including natural language processing and image recognition.
In the evolving environment of artificial intelligence, harnessing the power of pre-trained models is becoming increasingly crucial for efficient and effective solutions.
In this course, Applying Neural Networks: A Guide to Pre-trained Models, you'll gain the ability to use existing AI models to accelerate your projects.
First, you'll explore the world of pre-trained models and understand their significance.
Next, you'll discover how to find the most popular models, and how to integrate them.
Finally, you'll learn how to adapt these models to your specific needs, exploring techniques for fine-tuning and transfer learning.
When you're finished with this course, you'll have the skills and knowledge of pre-trained models needed to significantly improve your project results.
Homepage:
Download link
rapidgator.net:
nitroflare.com:
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 141.67 MB | Duration: 35m 46s
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 141.67 MB | Duration: 35m 46s
Unlock the power of pre-trained models. This course will teach you how to use and fine-tune pre-trained models for a range of applications, including natural language processing and image recognition.
In the evolving environment of artificial intelligence, harnessing the power of pre-trained models is becoming increasingly crucial for efficient and effective solutions.
In this course, Applying Neural Networks: A Guide to Pre-trained Models, you'll gain the ability to use existing AI models to accelerate your projects.
First, you'll explore the world of pre-trained models and understand their significance.
Next, you'll discover how to find the most popular models, and how to integrate them.
Finally, you'll learn how to adapt these models to your specific needs, exploring techniques for fine-tuning and transfer learning.
When you're finished with this course, you'll have the skills and knowledge of pre-trained models needed to significantly improve your project results.
Homepage:
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Download link
rapidgator.net:
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nitroflare.com:
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