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: Transfer Learning
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Fine-tuning
- Category: Computer Vision
- Category: Image Analysis
- Category: Convolutional Neural Networks
- Category: PyTorch (Machine Learning Library)
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Evaluation
- Category: Artificial Neural Networks
