- Development Environment
- Artificial Neural Networks
- PyTorch (Machine Learning Library)
- Deep Learning
- Performance Tuning
- Supervised Learning
- System Configuration
- Regression Analysis
- Machine Learning
- Software Installation
- Python Programming
- Artificial Intelligence
Foundations and Core Concepts of PyTorch
Completed by Aboozar Roosta
November 16, 2024
7 hours (approximately)
Aboozar Roosta's account is verified. Coursera certifies their successful completion of Foundations and Core Concepts of PyTorch
What you will learn
Set up and configure a PyTorch environment.
Understand fundamental AI and machine learning concepts.
Build, train, and evaluate neural networks from scratch, utilizing various optimization techniques
Apply PyTorch to real-world deep learning tasks.
Skills you will gain
