Deep Learning Applications for Computer Vision
Completed by Philip Winston Samuel
May 14, 2024
22 hours (approximately)
Philip Winston Samuel 's account is verified. Coursera certifies their successful completion of Deep Learning Applications for Computer Vision
What you will learn
Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks.
Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons.
Learners will be able to use hands-on modern machine learning tools and python libraries.
Skills you will gain
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Image Analysis
- Category: Feature Engineering
- Category: Convolutional Neural Networks
- Category: Model Training
- Category: Tensorflow
- Category: Computer Vision
- Category: Model Optimization
- Category: Fine-tuning
- Category: Machine Learning
- Category: Machine Learning Methods
