- Transfer Learning
- Geospatial Information and Technology
- Convolutional Neural Networks
- Model Deployment
- Data Preprocessing
- Machine Learning
- Keras (Neural Network Library)
- Data Pipelines
- Vision Transformer (ViT)
- Python Programming
- Model Evaluation
- Computer Vision
AI Capstone Project with Deep Learning
Completed by DUY QUANG NGUYỄN
November 5, 2021
14 hours (approximately)
DUY QUANG NGUYỄN's account is verified. Coursera certifies their successful completion of AI Capstone Project with Deep Learning
What you will learn
Demonstrate your hands-on skills in building deep learning models using Keras and PyTorch to solve real-world image classification problems
Showcase your expertise in designing and implementing a complete deep learning pipeline, including data loading, augmentation, and model validation
Highlight your practical skills in applying CNNs and vision transformers to domain-specific challenges like geospatial land classification
Communicate your project outcomes effectively through a model evaluation
Skills you will gain
