Deep Learning and Generative AI

6-7 weeks

LearningNatural InteractionPerception

Overview

Students explore neural networks, convolutional networks for computer vision, and generative models. They build models using TensorFlow/PyTorch, train on GPUs, and explore state-of-the-art applications in language and image generation.

Learning Objectives

1
Build and train neural networks from scratch and using modern frameworks
2
Apply CNNs to image classification and object detection
3
Understand and implement RNNs, LSTMs, and attention mechanisms
4
Explore generative models: VAEs, GANs, and diffusion models
5
Fine-tune pre-trained models (transfer learning)
6
Train large language models and understand prompt engineering

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