Natural language processing hands-on learning Bert text classification
Bert is currently one of the most popular technologies in the field of natural language processing, text classification is one of the most common tasks in the field of natural language processing, and Pytorch is one of the most streamlined deep learning frameworks. What will happen when the three are combined? This set of courses is based on the latest version 1.4 of Pytorch to realize the use of Bert to achieve Chinese text classification tasks, continuing the hands-on learning style of the series of courses, typing codes by hand throughout the process, and following the teacher line by line.
Chapter 1: Course Introduction
Chapter 2: Seq2Seq Related Theory
Chapter 3: Attention Mechanism
Chapter 4: Bert Theory Series Foundation
Chapter 5: Bert-based Text Classification Practice
Chapter 6: Bert+CNN-based Text Classification Practice
Chapter 7: Bert+RNN Based
Chapter 8: Practical text classification based on Bert+RCNNChapter
9: Practical text classification based on Bert+DPCNNChapter
10: Practical text classification based on ERNIE