Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019 - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 11 – Convolutional Networks for NLP

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30eokXM Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule 0:00 Introduction 1:00 Announcements 2:13 Welcome to the second half of the course! 6:40 Wanna read a book? 10:56 What is a convolution anyway? 32:19 Single Layer CNN for Sentence Classification 37:02 Multi-channel input idea 41:10 Regularization 42:19 All hyperparameters in Kim (2014) 42:59 Experiments 44:51 Problem with comparison? 48:56 4. Model comparison: Our growing toolkit 50:14 Gated units used vertically 55:12 Batch Normalization (Batch Norm) 57:58 1 x 1 Convolutions