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所在平台: Udemy |
课程主页: https://www.udemy.com/course/modern-natural-language-processingnlp-using-deep-learning/
课程评论：没有评论
课程名称：深度学习：使用变压器进行自然语言处理 课程概述： 深度学习是当今的热门话题，因为它对多个行业产生了深远的影响。在自然语言处理（NLP）领域，深度学习的影响尤为明显。能够让计算机理解和处理文本的技术正在改变我们的生活。自然语言处理的应用包括帮助全球用户学习知识的ChatGPT、提高开发者编码效率的Github Copilot、自动推荐Twitter话题、Google翻译的神经机器翻译、亚马逊等电商的搜索引擎以及Grammarly的语法修正等。 自然语言处理工程师的需求激增，专业人才薪资较高，但入门并不容易，许多信息往往过时且未充分考虑初学者的需求。 本课程将带领您踏上一段精彩的旅程，通过项目驱动的方法逐步掌握各种概念。您将使用TensorFlow 2（Google开发的全球最受欢迎的深度学习库）和Huggingface变压器（最受欢迎的NLP专注库）。课程开始时，您将学习如何构建简单模型（如用于汽车价格预测的线性回归模型及电影评论分析的RNN文本分类器），逐步深入到更复杂的变压器模型（如Bert、GPT、BlenderBot、T5、Sentence Transformers和Deberta）。通过参与课程和完成各项目，您将获得开发现代深度学习NLP解决方案的技能。 您将学习的内容包括： - TensorFlow的基础知识（张量、模型构建、训练与评估） - 自然语言处理的文本预处理 - 深度学习算法（递归神经网络、注意力模型、变压器和卷积神经网络） - 使用RNN、变压器和Huggingface变压器进行情感分析（Deberta） - 使用Word2vec和现代变压器（GPT、Bert、ULmfit、Deberta、T5...）的迁移学习 - 使用Weights and Biases进行机器学习运维（实验跟踪、超参数调整、数据集版本控制、模型版本控制） - 使用RNN、注意力机制、变压器和Huggingface变压器的机器翻译（T5） - 模型部署（Onnx格式、量化、Fastapi、Heroku云） - 使用Deberta进行意图分类 - 使用Roberta进行命名实体识别 - 使用T5进行神经机器翻译 - 使用Longformer进行提取式问答 - 使用Sentence transformers进行电商搜索引擎 - 使用Huggingface transformers的GPT2生成歌词 - 使用Huggingface transformers的T5进行语法错误纠正 - 使用BlenderBot创建Elon Musk机器人 - 使用RNN进行语音识别 如果您希望在职业生涯上更进一步，这门课程就是为您而设。我们非常高兴能够帮助您实现目标！本课程由Neuralearn提供，我们非常重视反馈，您的评论和论坛上的问题将帮助我们改进课程。欢迎在论坛上提问，我们会尽快回复您。祝您学习愉快！
Deep Learning is a hot topic today! This is because of the impact it's having in several industries. One of the fields in which deep learning has the most influence today is Natural Language Processing.To understand why Deep Learning based Natural Language Processing is so popular; it suffices to take a look at the different domains where giving a computer the power to understand and make sense out of text and generate text has changed our lives.Some applications of Natural Language Processing are in:Helping people around the world learn about any topic ChatGPTHelping developers code more efficiently with Github Copilot.Automatic topic recommendation in our Twitter feedsAutomatic Neural Machine Translation with Google TranslateE-commerce search engines like those of AmazonCorrection of Grammar with GrammarlyThe demand for Natural Language Processing engineers is skyrocketing and experts in this field are highly paid, because of their value. However, getting started in this field isn't easy. There's so much information out there, much of which is outdated and many times don't take the beginners into consideration:(In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step and project-based approach. You shall be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and Huggingface transformers (most popular NLP focused library ). We shall start by understanding how to build very simple models (like Linear regression model for car price prediction and RNN text classifiers for movie review analysis) using Tensorflow to much more advanced transformer models (like Bert, GPT, BlenderBot, T5, Sentence Transformers and Deberta). After going through this course and carrying out the different projects, you will develop the skill sets needed to develop modern deep learning for NLP solutions that big tech companies encounter.You will learn: The Basics of Tensorflow (Tensors, Model building, training, and evaluation)Text Preprocessing for Natural Language Processing.Deep Learning algorithms like Recurrent Neural Networks, Attention Models, Transformers, and Convolutional neural networks.Sentiment analysis with RNNs, Transformers, and Huggingface Transformers (Deberta)Transfer learning with Word2vec and modern Transformers (GPT, Bert, ULmfit, Deberta, T5...)Machine Learning Operations (MLOps) with Weights and Biases (Experiment Tracking, Hyperparameter Tuning, Dataset Versioning, Model Versioning)Machine translation with RNNs, attention, transformers, and Huggingface Transformers (T5)Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)Intent Classification with Deberta in Huggingface transformersNamed Entity Relation with Roberta in Huggingface transformersNeural Machine Translation with T5 in Huggingface transformersExtractive Question Answering with Longformer in Huggingface transformersE-commerce search engine with Sentence transformersLyrics Generator with GPT2 in Huggingface transformersGrammatical Error Correction with T5 in Huggingface transformersElon Musk Bot with BlenderBot in Huggingface transformersSpeech recognition with RNNsIf you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.Enjoy!!!
