Deep Learning Exploration with Transformers and Guest Lectures
Delve into the world of deep learning with a focus on Transformers through a series of administrative updates, grades, and upcoming lectures in the field. Stay informed about HW deadlines, extra credit opportunities, and intriguing topics like RNNs, LSTMs, BERT, and ViLBERT. Enhance your understanding of cutting-edge technologies and advancements in the realm of artificial intelligence and machine learning, guided by experts in the field.
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Presentation Transcript
CS 4803 / 7643: Deep Learning Topics: Transformers! Dhruv Batra Georgia Tech
Administrativia HW2 Grades Released Regrade requests close: 10/28, 11:59pm Grade histogram: 7643 Max possible: 51 (35+16) (regular credit) + 16 (extra credit) (C) Dhruv Batra 2
Administrativia HW2 Grades Released Regrade requests close: 10/28, 11:59pm Grade histogram: 4803 Max possible: 41 (25+16) (regular credit) + 26 (extra credit) (C) Dhruv Batra 3
Administrativia HW4 Released Due: 11/03, 11:59pm RNNs, LSTMs, Transformers. I am aware of the issues with RNN.py and LSTM.py Also aware of issues with Beam Search question (C) Dhruv Batra 4
Administrativia Guest Lecture: Arjun Majumdar Transformers, BERT, ViLBERT https://arjunmajum.github.io/ (C) Dhruv Batra 5
