Generative Adversarial Networks (GANs) for Image Synthesis

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About Course

  • Tech Stack: Python (TensorFlow, PyTorch), Docker, GCP (AI Hub, Cloud Functions), Flask
  • Objective: Build a GAN-based system that can generate high-quality images (e.g., for creative applications like fashion or art). Train GAN models to produce realistic images and deploy the system as a cloud-based service for on-demand image generation.
  • Skills Needed: Generative models (GANs), deep learning, cloud-based deployment, containerization, Flask for API development, and cloud services for scalable training.

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