Mastering Image Editing with VAEs
Generative AI
| Intermediate
- 13 videos | 1h 31m 6s
- Includes Assessment
- Earns a Badge
With artificial intelligence (AI)-powered image generation, you are only limited by your imagination, your understanding of the technology, and the AI's capabilities in what you can accomplish. With a good understanding of generative AI, the sky's the limit. In this course, you'll be introduced to image editing with variational autoencoders (VAEs), beginning with fundamental principles of VAEs, probabilistic encoding and decoding with VAEs, and latent space in generative models. Then you'll be introduced to Keras, the Keras Environment, image editing with VAEs, and VAE training. Finally, you'll explore latent space variables in Keras, how to build an autoencoder in Keras, how to generate images with Keras, and Keras case studies.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseOutline core principles of variational autoencoders (vaes)Outline the use of probabilistic encoding and decoding with vaesProvide an overview of the significance of latent space in generative models and its role in image generationProvide an overview of keras and how it can be used to implement vaes in image editing and creationGet started with keras and leverage its functionalities for vae-based image manipulationOutline the process of image editing using vaes, such as compression and color adjustments
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Demonstrate methods for training vaesOutline how to manipulate images with latent space variables using kerasCreate an autoencoder in kerasBuild new and distinctive images with keras and customize vae parameters in keras to achieve specific creative outcomes tailored to your visionIdentify real-world examples where keras was used for vae-driven image editing and generationSummarize the key concepts covered in this course
IN THIS COURSE
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55sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 2sAfter completing this video, you will be able to outline core principles of variational autoencoders (VAEs). FREE ACCESS
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5m 5sUpon completion of this video, you will be able to outline the use of probabilistic encoding and decoding with VAEs. FREE ACCESS
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8m 16sAfter completing this video, you will be able to provide an overview of the significance of latent space in generative models and its role in image generation. FREE ACCESS
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6m 27sUpon completion of this video, you will be able to provide an overview of Keras and how it can be used to implement VAEs in image editing and creation. FREE ACCESS
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14m 9sLearn how to get started with Keras and leverage its functionalities for VAE-based image manipulation. FREE ACCESS
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6m 38sAfter completing this video, you will be able to outline the process of image editing using VAEs, such as compression and color adjustments. FREE ACCESS
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7m 16sIn this video, we will demonstrate methods for training VAEs. FREE ACCESS
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10m 15sUpon completion of this video, you will be able to outline how to manipulate images with latent space variables using Keras. FREE ACCESS
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6m 8sIn this video, you will learn how to create an autoencoder in Keras. FREE ACCESS
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8m 39sIn this video, find out how to build new and distinctive images with Keras and customize VAE parameters in Keras to achieve specific creative outcomes tailored to your vision. FREE ACCESS
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8m 33sAfter completing this video, you will be able to identify real-world examples where Keras was used for VAE-driven image editing and generation. FREE ACCESS
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44sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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