- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Neural Networks
- Deep Learning
- Generative Model Architectures
- Natural Language Processing
- Computer Vision
- Keras (Neural Network Library)
- Applied Machine Learning
- Image Analysis
- Python Programming
- Unsupervised Learning
Introduction to Deep Learning
Completed by Mustafa Karakütük
January 6, 2024
58 hours (approximately)
Mustafa Karakütük's account is verified. Coursera certifies their successful completion of Introduction to Deep Learning
What you will learn
Apply different optimization methods while training and explain different behavior.
Use cloud tools and deep learning libraries to implement CNN architecture and train for image classification tasks.
Apply deep learning package to sequential data, build models, train, and tune.
Skills you will gain
