Building and Training Neural Networks with PyTorch
Completed by Maciej Pedzisz
April 23, 2025
7 hours (approximately)
Maciej Pedzisz'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: Image Analysis
- Category: Recurrent Neural Networks (RNNs)
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Model Training
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: PyTorch (Machine Learning Library)
