Programa especializado: Generative Adversarial Networks (GANs)
Break into the GANs space. Master cutting-edge GANs techniques through three hands-on courses!
ofrecido por

Qué aprenderás
Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN
Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation
Habilidades que obtendrás
Acerca de este Programa Especializado
Proyecto de aprendizaje aplicado
Course 1: In this course, you will understand the fundamental components of GANs, build a basic GAN using PyTorch, use convolutional layers to build advanced DCGANs that processes images, apply W-Loss function to solve the vanishing gradient problem, and learn how to effectively control your GANs and build conditional GANs.
Course 2: In this course, you will understand the challenges of evaluating GANs, compare different generative models, use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs, identify sources of bias and the ways to detect it in GANs, and learn and implement the techniques associated with the state-of-the-art StyleGAN.
Course 3: In this course, you will use GANs for data augmentation and privacy preservation, survey more applications of GANs, and build Pix2Pix and CycleGAN for image translation.
- Basic calculus, linear algebra, stats
- Grasp of AI, deep learning & CNNs
- Intermediate Python & experience with DL frameworks (TF / Keras / PyTorch)
- Basic calculus, linear algebra, stats
- Grasp of AI, deep learning & CNNs
- Intermediate Python & experience with DL frameworks (TF / Keras / PyTorch)
ofrecido por

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Preguntas Frecuentes
What is the refund policy?
¿Puedo inscribirme en un solo curso?
Is financial aid available?
¿Puedo tomar este curso de manera gratuita?
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
¿Recibiré crédito universitario por completar el programa especializado?
¿Recibiré crédito universitario por completar el programa especializado?
What are the applications of GANs?
Why are GANs important?
What is the GANs Specialization about?
What will I learn in the GANs Specialization?
Who is the GANs Specialization for?
What background knowledge is necessary?
What will I be able to do upon completing the Specialization?
Who created the GANs Specialization?
Is this a standalone course or a Specialization?
Do I need to take the courses in a specific order?
Can I audit the Specialization?
How long does it take to complete the Specialization?
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