Built a Machine learning pipeline for training, classifying, and detecting synthetic images generated by GANs. Focused on identifying visual artifacts to distinguish real images from AI-generated content, using convolutional networks and custom classifier models.
YEAR
2021
DOMAIN
Generative AI
Machine Learning
TECH STACK
Python
PyTorch
Jupyter
About the project
Explored generative modeling as an unsupervised learning task to synthesize new, realistic data samples. Leveraged GANs to capture underlying data distributions and reproduce images indistinguishable from the original dataset, showcasing model generalization and pattern learning.
Smooth Scroll
This will hide itself!
This will hide itself!
imGAN
OVERVIEW
Built a Machine learning pipeline for training, classifying, and detecting synthetic images generated by GANs. Focused on identifying visual artifacts to distinguish real images from AI-generated content, using convolutional networks and custom classifier models.
YEAR
2021
DOMAIN
Generative AI
Machine Learning
TECH STACK
Python
PyTorch
Jupyter
About the project
Explored generative modeling as an unsupervised learning task to synthesize new, realistic data samples. Leveraged GANs to capture underlying data distributions and reproduce images indistinguishable from the original dataset, showcasing model generalization and pattern learning.
Smooth Scroll
This will hide itself!
This will hide itself!
imGAN
OVERVIEW
Built a Machine learning pipeline for training, classifying, and detecting synthetic images generated by GANs. Focused on identifying visual artifacts to distinguish real images from AI-generated content, using convolutional networks and custom classifier models.
YEAR
2021
DOMAIN
Generative AI
Machine Learning
TECH STACK
Python
PyTorch
Jupyter
About the project
Explored generative modeling as an unsupervised learning task to synthesize new, realistic data samples. Leveraged GANs to capture underlying data distributions and reproduce images indistinguishable from the original dataset, showcasing model generalization and pattern learning.
Smooth Scroll
This will hide itself!
This will hide itself!