Generative A.I., from GANs to CLIP, with Python and Pytorch
Learn to code the most creative and exciting A.I. architectures, generative networks, from basic to advanced and beyond
What you’ll learn
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How to code generative A.I architectures from scratch using Python and Pytorch
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How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process
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In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures
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Examples: We will code a generative network that produces human faces, and also combine two advanced networks to transform text prompts into amazing images. We will also understand in depth the details of how these networks work.
Who this course is for:
- People interested in using A.I and deep learning to generate, imagine and create new things
- People interested in generative adversarial networks and other advanced A.I generative architectures
- People interested in how A.I can combine different modalities (text, images) to create new things (multimodal A.I.)
- People interested in learning to code the type of advanced A.I architectures that are the present and future of the field
