Generative AI, from GANs to CLIP, with Python and Pytorch
What you'll learn
- How to code generative A.I architectures from scratch using Python and Pytorch
- How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process
- In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures
- Examples: We will code a generative network that produces human faces, and also combine two advanced networks to transform text prompts into amazing images.
- Examples: We will learn to edit the clothes of a person in a picture by combining a segmentation architecture with the Stable Diffusion generative model
- Special Bonus Section: Journey to the latent space of a neural network, learn in depth how the networks that power Generative AI learn their mappings
- Special Bonus Section: Experience a guided visualization to exercise the generative model in your head while you learn many things about neural networks
Requirements
- Basic knowledge of python. It's enough with the very basics, as we will code every little thing together, line by line
- Access to an internet connection, as we will use the free online Google Colab service to code together
- Plenty of enthusiasm as we will go deep into every little detail, let's do it! :)
Description
April 2024 Update: Two new sections have been added recently.
New Section 5: learn to edit the clothes of a person in a picture by programming a combination of a segmentation model with the Stable Diffusion generative model.
New bonus section 6: Journey to the latent space of a neural network - dive deep into the latent space of the neural networks that power Generative AI in order to understand in depth how they learn their mappings.
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Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.
The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.
At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.
What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let's do it!
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
Instructor
- 4.5 Instructor Rating
- 8,314 Reviews
- 42,878 Students
- 3 Courses
Javier Ideami is an expert in A.I and deep learning, specialized in advanced visualization, computer vision and generative architectures. He is a multidisciplinary engineer, researcher, creative director, artist and entrepreneur. Javier Ideami’s projects and talks have taken him from Silicon Valley to the jungles of Bali, including Stanford University and UC Berkeley, the United Nations FAO HQ, the financial center of London, the International Cultural Diplomacy Conference in Berlin and many others.
Ideami represents a unique fusion of technical mastery, creativity and entrepreneurial spirit. As an award-winning multidisciplinary engineer and creative, and a pioneering figure in multiple areas, from AI to AR, particle art and beyond, he merges technology and media to push boundaries and create unforgettable experiences. His unique multidisciplinary approach to problem-solving, coupled with his unquenchable thirst for innovation is a reminder of the transformative power of creativity
Pioneer in Generative AI development
e.g: CoFounder of Geniverse, which was one of the first generative AI platforms in the world featuring text to image and text to video capabilities using multiple architectures (before DALL-E was launched). Geniverse pioneered a unique form of flexible canvas interface that allowed users to interact with multiple generative AI models
Creator of unique AI tools
e.g: creator of LL Explorer (used by many educational institutions around the world, a tool that allows you to visualize the loss landscape of the training processes of neural networks)
Pioneer in applying generative AI in filmmaking
e.g: Javier’s movie “Hamelin 77” was pioneer in addressing the topic of prompt engineering + applying multiple generative AI techniques to complement the storytelling (text to image, text to video, NeRF for 3D space reconstruction, etc)
Winner of multiple awards: First prize at ROS Film Festival (Spain), AI Integration award at LTUE Film Festival (USA)
Award winning creations combining AI + creative media
e.g: Totem, a creative interpretation of the work of renown multidisciplinary asian creative Wallace Chan
Winner, in between many other recognitions, of the best experimental movie award at the FRFF in Cannes, France and premiered during the Venice Biennale of Art 2022 at Fondaco Marcello Gallery in Venice, Italy
Innovator in AI training visualization research
e.g: founder of the Loss Landscape project, pioneering project in the area of advanced visualizations of the training and learning processes of neural networks.
This research and project has been showcased and praised by leading AI figures and at prestigious venues.
Featured in popular TV Shows and podcasts related to AI
e.g: Orbita Laika in RTVE in Spain
e.g: Culturas Show in RTVE, Spain
e.g: RTPA Television
e.g: DotCSV Podcast
Experimental music through human-AI collaboration
e.g: creation of the piece “LaTierraTu”, commissioned by the Artificial Intelligence Institute, a collaboration between Javier and different AI processes
Writer of popular AI related articles
e.g: author of the most read AI related article in the world in the leading AI publication in Medium in 2021
Speaker at important AI educational programs
e.g: speaker at keynotes of the Executive AI Masters program of the AI Institute in Spain
Creator of unique artworks using AI data
e.g: art made with unique AI data
Speaker at AI conferences and events for well known AI companies and Institutions
e.g: Weights & Biases talk
e.g: Stanford University
e.g: Synthetic Intelligence Forum
e.g: Roams talk
e.g: Asturias Power
e.g: Strive School
(Javier has given many other presential talks at prestigious events and institutions including Stanford University and UC Berkeley, the United Nations FAO HQ, the financial center of London, the International Cultural Diplomacy Conference in Berlin, the European Big Data Conference and many others)