- Machine Learning Methods
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Computer Vision
- Performance Tuning
- Deep Learning
- Transfer Learning
- Reinforcement Learning
- Scalability
- Natural Language Processing
- Convolutional Neural Networks
An Introduction to Practical Deep Learning
Completed by Densen Puthussery
April 22, 2020
17 hours (approximately)
Densen Puthussery's account is verified. Coursera certifies their successful completion of An Introduction to Practical Deep Learning
Skills you will gain
