Building and Training Neural Networks with PyTorch
Completed by Iswarya P
May 13, 2026
7 hours (approximately)
Iswarya P'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: Computer Vision
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
- Category: Data Processing
- Category: Model Training
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Data Preprocessing
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
