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@@ -78,20 +78,23 @@ This is a tentative lecture schedule. Please check the schedule on Canvas for re | |
|---|---| | ||
| 01/17 (Wed) | Introduction | | ||
| 01/22 (Mon) | Introduction | | ||
| **Groundedness** || | ||
| 01/24 (Wed) | Applied Math and Machine Learning Basics | | ||
| 01/29 (Mon) | Applied Math and Machine Learning Basics | | ||
| 01/31 (Wed) | Deep Feedforward Networks | | ||
| 02/05 (Mon) | Deep Feedforward Networks | | ||
| 02/07 (Wed) | Regularization for Deep Learning | | ||
| 02/12 (Mon) | Regularization for Deep Learning | | ||
| 02/14 (Wed) | Optimization for Deep Learning | | ||
| **Confidence** || | ||
| 02/19 (Mon) | Optimization for Deep Learning | | ||
| 02/21 (Wed) | Convolutional Networks | | ||
| 02/26 (Mon) | Convolutional Networks | | ||
| 02/28 (Wed) | Recurrent and Recursive Networks | | ||
| 03/04 (Mon) | Spring Break (No Class) | | ||
| 03/06 (Wed) | Spring Break (No Class) | | ||
| 03/11 (Mon) | | | ||
| 03/04 (Mon) | **Spring Break (No Class)** | | ||
| 03/06 (Wed) | **Spring Break (No Class)** | | ||
| 03/11 (Mon) | | | ||
| **Explainability** || | ||
| 03/13 (Wed) | Practical Methodology for Deep Learning | | ||
| 03/18 (Mon) | Practical Methodology for Deep Learning | | ||
| 03/20 (Wed) | Autoencoders | | ||
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@@ -100,13 +103,13 @@ This is a tentative lecture schedule. Please check the schedule on Canvas for re | |
| 04/01 (Mon) | Representation Learning | | ||
| 04/03 (Wed) | Structured Probabilistic Models | | ||
| 04/08 (Mon) | Structured Probabilistic Models | | ||
| 04/10 (Wed) | Deep Generative Models | | ||
| 04/15 (Mon) | Deep Generative Models | | ||
| 04/17 (Wed) | Deep Reinforcement Learning | | ||
| 04/22 (Mon) | Deep Reinforcement Learning | | ||
| 04/24 (Wed) | Applications (CV, NLP, etc.) | | ||
| 04/29 (Mon) | Applications (CV, NLP, etc.) | | ||
| 05/01 (Wed) | Societal Impacts and Ethics | | ||
| 04/10 (Wed) | TBD | | ||
| 04/15 (Mon) | TBD | | ||
| 04/17 (Wed) | TBD | | ||
| 04/22 (Mon) | TBD | | ||
| 04/24 (Wed) | TBD | | ||
| 04/29 (Mon) | **Project Presentations** | | ||
| 05/01 (Wed) | **Project Presentations** | | ||
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## Accommodation Statement | ||
Virginia Tech welcomes students with disabilities into the University’s educational programs. The University promotes efforts to provide equal access and a culture of inclusion without altering the essential elements of coursework. If you anticipate or experience academic barriers that may be due to disability, including but not limited to ADHD, chronic or temporary medical conditions, deaf or hard of hearing, learning disability, mental health, or vision impairment, please contact the Services for Students with Disabilities (SSD) office (540-231-3788, [[email protected]](mailto:[email protected]), or visit [ssd.vt.edu](ssd.vt.edu) to an external site). If you have an SSD accommodation letter, please meet with the instructors privately during office hours as early in the semester as possible to deliver your letter and discuss your accommodations. You must give the instructors a reasonable notice to implement your accommodations, which is generally 5 business days and 10 business days for final exams. | ||
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