Advanced AI: Transformers for Computer Vision
Advanced AI: Transformers for Computer Vision
Duration: 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 164 MB
Genre: eLearning | Language: English
Duration: 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 164 MB
Genre: eLearning | Language: English
Transformers are quickly becoming the go-to architecture for many computer vision tasks. If you work in the field, it’s a must-have skill to keep on hand in your AI toolkit. In this course, AI consultant Jonathan Fernandes takes you on a deep dive into the world of transfer learning and transformer model architecture.
Explore the basics of computer vision, image datasets, preprocessing, and image fine-tuning, with hands-on examples and easy-to-follow demonstrations using Google Colab and the Hugging Face library. Discover tips and practical strategies for model training and testing as you go, building out your skill set with the popular inference modeling tools Gradio and Hugging Face Spaces. By the end of this course, you’ll be prepared to design and train larger, more advanced, more sophisticated language models.
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