Building and Training Neural Networks with PyTorch
Completed by THIRUNAVUKKARASU MEENAKSHISUNDARAM
March 11, 2026
7 hours (approximately)
THIRUNAVUKKARASU MEENAKSHISUNDARAM's account is verified. Coursera certifies their successful completion of Building and Training Neural Networks with PyTorch
What you will learn
Build and train neural networks using PyTorch for various tasks.
Implement classification models with multi-class, multi-label datasets, and CNNs for image and audio classification.
Apply object detection techniques using the YOLO algorithm.
Explore neural style transfer, transfer learning, and implement RNNs and LSTM networks.
Skills you will gain
- Category: Recurrent Neural Networks (RNNs)
- Category: Data Preprocessing
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Computer Vision
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Data Processing
- Category: Image Analysis
