Building and Training Neural Networks with PyTorch
Completed by Lianchuan Zhang
August 11, 2025
7 hours (approximately)
Lianchuan Zhang'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: Model Training
- Category: Image Analysis
- Category: Recurrent Neural Networks (RNNs)
- Category: Data Preprocessing
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Data Processing
- Category: Deep Learning
- Category: Computer Vision
- Category: Model Evaluation
