Deep Learning Fundamentals
Comprehensive introduction to deep learning architectures, including CNNs, RNNs, and transformer models with PyTorch implementations.
Neural Networks
PyTorch
Computer Vision
Sharing knowledge through courses, workshops, and educational resources in machine learning and AI
Comprehensive introduction to deep learning architectures, including CNNs, RNNs, and transformer models with PyTorch implementations.
Advanced course covering medical image processing, segmentation, and analysis using deep learning techniques.
Research methodologies, paper writing, and experimental design in AI.
Hands-on session covering SOTA vision language models in healthcare.
Hands-on session covering implementation and optimization of vision transformers
Annual competition for developing innovative solutions in medical imaging