- Performance Tuning
- Convolutional Neural Networks
- Machine Learning Methods
- Deep Learning
- Natural Language Processing
- Artificial Neural Networks
- Scalability
- Reinforcement Learning
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Transfer Learning
- Computer Vision
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
