- Model Deployment
- Data Pipelines
- PyTorch (Machine Learning Library)
- Transfer Learning
- Keras (Neural Network Library)
- Model Evaluation
- Python Programming
- Vision Transformer (ViT)
- Machine Learning
- Computer Vision
- Data Preprocessing
- Geospatial Information and Technology
AI Capstone Project with Deep Learning
Completed by Daniel Andres Gonzalez
August 4, 2020
14 hours (approximately)
Daniel Andres Gonzalez'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
