Embark on a comprehensive journey through PyTorch, from fundamental concepts to advanced model training techniques in this informative video tutorial. Master tensor manipulation, perform essential operations, and learn to create tensors from external data sources. Discover how to leverage GPU acceleration for improved performance. Dive into working with datasets and dataloaders, and gain hands-on experience building neural network models. Explore the intricacies of model training and evaluation processes. Perfect for beginners and intermediate learners alike, this tutorial equips you with the practical skills needed to excel in deep learning and large language model development using PyTorch.
Real-World PyTorch: From Zero to Hero in Deep Learning and LLMs - Tensors, Operations, Model Training
Overview
Syllabus
- Intro
- Text tutorial on MLExpert
- Tensors
- Operations
- Create Tensors from external data
- PyTorch on GPU
- Dataset and Dataloader
- Build a Neural Network model
- Training your model
- Evaluation
- Conclusion
Taught by
Venelin Valkov
