From the course: Deep Learning: Image Recognition
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Generative AI and image recognition - Python Tutorial
From the course: Deep Learning: Image Recognition
Generative AI and image recognition
- Now let's go ahead and talk about introduction to GenAI and image processing. Well, we have the GenAI as we know, a subset of AI focusing on generating new content such as images, text, and audio. For the sake of this course, we will be focusing on generating images. So what is image processing? Techniques like enhance, analyze, and manipulate images. What are the application of GenAI and image processing? Well, art generation, data augmentation, image super-resolution, and many, many more applications. Well, there are key libraries for GenAI, especially for image generation, such as TensorFlow and Keras. These are frameworks like we have been using for building and training deep learning models. This includes pre-trained models and tools for image generation and recognition. PyTorch, well, this is popular for research and production. Dynamic computation graph and extensive support for generated models are really, really key benefits of PyTorch. TensorFlow Hub. So it's a repository…
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Image recognition fundamentals7m 55s
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Preprocessing and feeding data into your network7m 33s
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Developing image recognition systems9m 20s
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Success metrics16m 17s
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Challenges in image recognition12m 57s
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Challenge: Dealing with noise in images2m 42s
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Solution: Dealing with noise in images3m 32s
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Generative AI and image recognition4m 23s
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