Petroleum Engineering 586:
Deep Learning for Energy Engineering (4.0 units)
Dense, convolutional and recurrent neural networks and autoencoders for classification and regression in oilfield operations. Model training and hyperparameter tuning. Focus on industry applications.
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32233D | 048 | Lecture | 10:00-1:40pm | Thursday | 12 of 13 | Birendra Jha | RTH109 |  | |
| 32234D | 034 | Lecture | 10:00-1:40pm | Thursday | 1 of 12 | Birendra Jha | DEN@Viterbi | |