Master Deep Learning with TensorFlow & PyTorch: End-to-End Neural Network Projects

Unlock the skills to navigate the dynamic world of deep learning with this comprehensive course! From understanding when to use pre-trained models versus building your own, to diving into the critical algorithms behind neural networks, you will gain the foundational knowledge to thrive as an Artificial Intelligence (AI) practitioner.

Explore cutting-edge machine learning techniques and deep neural network architectures such as CNNs, FCNNs, ResNet, RNNs, Transformers, Large Language Models, and more. Learn the practical applications of TensorFlow 2 and PyTorch, with hands-on exercises that walk you through the implementation and deployment of complete neural network projects.

Empower yourself to tackle real-world AI challenges and confidently design, analyze, and deploy solutions using the latest AI methods and tools. Whether you're aiming to enhance your career or take your skills to the next level, this course is your gateway to get practical handle on AI and Deep Neural Networks.

Learning Outcomes:

• Master Deep Learning Tools through hands-on experience with TensorFlow 2 and PyTorch,
• Understand the core principles of neural networks,
• Learn to train and deploy neural networks for image classification, image segmentation, and natural language processing (NLP),
• Write applications in TensorFlow 2 and PyTorch for practical neural networks

Course typically offered: Online in Spring and Fall quarters

Prerequisites: Introduction to Programming (CSE-40028) or a basic working knowledge of Python. Students must have access to a web-enabled computer

Next Steps: After completing of this course, consider taking other courses in the Machine Learning Methods, or Technical Aspects of Artificial Intelligence certificate program

More Information: For more information about this course, please contact unex-techdata@ucsd.edu