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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-movie-review-classification-with-bert-and-tensorflow/
课程评论：没有评论
课程名称：使用BERT和Tensorflow构建电影评论分类器 课程概述： 本课程旨在教您如何使用开源Python、Tensorflow 2.4和Jupyter框架构建电影评论分类引擎。课程适合初学者，提供了深度学习文本分类的坚实基础。通过本教程，您将会学习到电影评论分类的基本知识，从零开始理解词嵌入、BERT及其相较于其他技术的优势。 课程内容： 您将逐步跟随讲师完成以下内容： - **词嵌入**：包括Word2Vec、独热编码、Glove及BERT； - **构建应用**：下载数据集、下载预训练模型、在IMDB电影评论数据集上微调模型、模型评估以及在真实数据上的测试。 学习成果： - 学习如何使用BERT和Tensorflow 2.4进行电影评论分类； - 通过10多节讲座的实战指导，在自己的桌面上掌握构建电影评论分类引擎的技术； - 适合初学程序员，采用可视化的培训方法，增强学习效果和知识吸收； - 将复杂的应用拆分为简单的步骤，并提供挑战以巩固概念和解决方案验证。 此课程将开启您在自然语言处理(NLP)领域的大门，BERT作为最先进的语言模型，将为您在社交媒体等领域的文本分类任务提供强有力的技能支持。在这个需求旺盛的职业领域中，掌握文本分类技能将使您具备竞争优势。
Learn to build Moview Review Classifier engine with BERT and TensorFlow 2.4Build a strong foundation in Deep learning text classifiers with this tutorial for beginners.Understanding of movie review classification Learn word embeddings from scratchLearn BERT and its advantages over other technologiesLeverage pre-trained model and fine-tune it for the questions classification taskLearn how to evaluate the modelUser Jupyter Notebook for programmingTest model on real-world dataA Powerful Skill at Your Fingertips Learning the fundamentals of text classification h puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation. Text classification is a fundamental task in the natural language processing (NLP) world.No prior knowledge of word embedding or BERT is assumed. I'll be covering topics like Word Embeddings, BERT, and Glove from scratch. Jobs in the NLP area are plentiful, and being able to learn text classification with BERT will give you a strong edge. BERT is state of art language model and surpasses all prior techniques in natural language processing. Google uses BERT for text classification systems. Text classifications are vital in social media. Learning text classification with BERT and Tensorflow 2.4 will help you become a natural language processing (NLP) developer which is in high demand.Content and Overview This course teaches you how to build a movie review classification engine using open-source Python, Tensorflow 2.4, and Jupyter framework. You will work along with me step by step to build a movie review classification engine Word Embeddings• Word2Vec• One hot encoding• Glove• BERTBuild Application• Download dataset• Download pre-trained model• Fine Tune Model on IMDB movie review dataset• Model Evaluation• Testing Model on real-world dataWhat am I going to get from this course?Learn movie review classification with BERT and Tensorflow 2.4 from a professional trainer from your own desk.Over 10 lectures teaching you how to build a movie review classification engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.
