Deep Learning Workshop Livestreams
Saturday - April 6
Saturday - April 6
9:00AM - 10:15AM
9:00AM - 10:15AM
Session 1: CNN Architectures and their application in medical image analysis - Ahmad Tafti
Session 1: CNN Architectures and their application in medical image analysis - Ahmad Tafti
10:45AM - 12:00PM
10:45AM - 12:00PM
Session 2: RNN / LSTM Architectures and their applications in clinical note analytics - Yanshan Wang
Session 2: RNN / LSTM Architectures and their applications in clinical note analytics - Yanshan Wang
1:00PM - 2:15PM
1:00PM - 2:15PM
Session 3: Node embedding and its applicaiton in biomedical ontology - Feichen Shen
Session 3: Node embedding and its applicaiton in biomedical ontology - Feichen Shen
2:45PM - 4:00PM
2:45PM - 4:00PM
Sesison 4: Understanding of Attention, Self-Attention, and Pretrained Language Models in NLP - Jay Urbain
Sesison 4: Understanding of Attention, Self-Attention, and Pretrained Language Models in NLP - Jay Urbain
Friday - April 5
Friday - April 5
9:00AM - 10:45AM
9:00AM - 10:45AM
Session 1: Artificial Intelligence and Deep Learning; What and Why? - Ahmad Tafti
Session 1: Artificial Intelligence and Deep Learning; What and Why? - Ahmad Tafti
Session 2: Deep Learning Foundation: Neural Network - Daniel Rowe
Session 2: Deep Learning Foundation: Neural Network - Daniel Rowe
11:15AM - 12:30PM
11:15AM - 12:30PM
Session 3: Deep Learning in R (An Example in Image Processing) - Mehdi Maadooliat
Session 3: Deep Learning in R (An Example in Image Processing) - Mehdi Maadooliat
1:30PM - 2:30PM
1:30PM - 2:30PM
Sesison 4: Deep Learning in Python (An exmaple in NLP) - Yuan Luo
Sesison 4: Deep Learning in Python (An exmaple in NLP) - Yuan Luo
2:45PM - 3:45PM
2:45PM - 3:45PM
Session 5: A Jouney of Deep Neural Networks for short and long text understanding - Yuan Luo
Session 5: A Jouney of Deep Neural Networks for short and long text understanding - Yuan Luo
4:15PM - 5:00PM
4:15PM - 5:00PM
Discussion Panel - AI Scientist Career Path
Discussion Panel - AI Scientist Career Path