Description

Course Overview:
This advanced course takes a deep dive into complex deep learning architectures and techniques. You'll learn to build sophisticated models like Generative Adversarial Networks (GANs), Transformers, and deep reinforcement learning.

Course Curriculum:

• Advanced Neural Networks: Dive deeper into architectures such as CNNs, RNNs, and multi-layer perceptrons.
• Generative Adversarial Networks (GANs): The theory and practical application of GANs for image generation.
• Reinforcement Learning: Introduction to deep reinforcement learning, Q-learning, and policy gradients.
• Transformers and Attention Mechanisms: Explore modern transformer models used in NLP tasks like BERT and GPT.
• Hands-on Exercises: Building advanced models with TensorFlow and PyTorch.

Skills Gained:
Advanced deep learning techniques, GANs, reinforcement learning, working with cutting-edge AI models.