Advanced Deep Learning

Advanced deep learning techniques push the limits of AI models in vision, NLP and generative AI.

Workshop Overview

This workshop explores GANs, autoencoders, advanced CNN architectures and generative models.

Workshop Modules

TensorFlow and PyTorch

Hands-on deep learning frameworks.

Unsupervised Learning

Learning patterns without labeled data.

Sparse Coding

Efficient data representation.

Restricted Boltzmann Machines

Generative neural networks.

Deep Belief Networks

Stacked probabilistic neural models.

Autoencoders

Dimensionality reduction techniques.

GANs

Generative adversarial networks.

3D CNN and YOLO

Advanced object detection models.

Image Segmentation

Deep learning for image understanding.

Focus Areas

Generative Models
GANs
Autoencoders
Advanced CNN Architectures
Deep Learning Research