Getting Started with PyTorch
This course is designed for learners with a basic understanding of machine learning concepts who are looking to delve deeper into PyTorch. With a focus on more complex techniques and hands-on applications, this course will guide you through the essential tools and functionalities of PyTorch. You will gain proficiency in building, training, and evaluating neural networks using this powerful and flexible deep learning framework.
What You'll Learn
PyTorch Fundamentals
Understand the core concepts and architecture of PyTorch, including tensors, automatic differentiation, and dynamic computation graphs.
Building Neural Networks
Learn how to construct neural networks using PyTorch's nn.Module and nn.Sequential classes.
Training and Evaluation
Master techniques for training, validating, and evaluating neural networks, including loss functions and optimizers.
Data Handling
Handle and preprocess data using PyTorch's Dataset and DataLoader utilities.
Advanced PyTorch Techniques
Explore advanced techniques such as custom layer creation, transfer learning, and distributed training.
© 2024 ApX Machine Learning