Building and Training Neural Networks with PyTorch
Completed by Muhammad Sajjad
December 20, 2025
7 hours (approximately)
Muhammad Sajjad'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: Recurrent Neural Networks (RNNs)
- Category: PyTorch (Machine Learning Library)
- Category: Model Optimization
- Category: Model Training
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Data Processing
- Category: Model Evaluation
- Category: Computer Vision
- Category: Image Analysis
- Category: Deep Learning
