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Updated in [September 06th, 2023]
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Transformers are rapidly becoming the preferred architecture for many computer vision tasks. If you're in this field, it's a must-have skill for your AI toolkit. In this course, AI consultant Jonathan Fernandes offers an in-depth exploration of transfer learning and transformer model architecture. Learn the fundamentals of computer vision, image dataset handling, and fine-tuning through hands-on examples in Google Colab and the Hugging Face library. Gain valuable insights and practical strategies for model training and testing, while building expertise with popular inference modeling tools like Gradio and Hugging Face Spaces. By the course's end, you'll be well-prepared to design and train more advanced and sophisticated language models.
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