- Generative Adversarial Networks (GANs)
- Performance Tuning
- Reinforcement Learning
- Recurrent Neural Networks (RNNs)
- Computer Vision
- Transfer Learning
- Deep Learning
- Artificial Neural Networks
- Machine Learning Methods
- Natural Language Processing
- Scalability
- Convolutional Neural Networks
An Introduction to Practical Deep Learning
Completed by Rajith Manellanga
June 29, 2020
17 hours (approximately)
Rajith Manellanga's account is verified. Coursera certifies their successful completion of An Introduction to Practical Deep Learning
Skills you will gain
