Building and Training Neural Networks with PyTorch
Completed by Muhammad Zeeshan Aslam
August 23, 2025
7 hours (approximately)
Muhammad Zeeshan Aslam'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: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Model Training
- Category: Data Processing
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Computer Vision
- Category: Image Analysis
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: PyTorch (Machine Learning Library)
