À propos de ce Spécialisation

34,153 consultations récentes
About GANs Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more. About this Specialization The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. About you This Specialization is for software engineers, students, and researchers from any field, who are interested in machine learning and want to understand how GANs work. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approximately 3 months to complete
Suggested pace of 9 hours/week
Anglais
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approximately 3 months to complete
Suggested pace of 9 hours/week
Anglais

Cette Spécialisation compte 3 cours

Cours1

Cours 1

Build Basic Generative Adversarial Networks (GANs)

4.7
étoiles
879 évaluations
222 avis
Cours2

Cours 2

Build Better Generative Adversarial Networks (GANs)

4.7
étoiles
312 évaluations
49 avis
Cours3

Cours 3

Apply Generative Adversarial Networks (GANs)

4.8
étoiles
242 évaluations
51 avis

Offert par

Placeholder

deeplearning.ai

Foire Aux Questions

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.