BERT 课程
BERT 课程可以帮助您学习自然语言处理、上下文嵌入、微调 Model 和处理大型数据集。您可以掌握文本分类、情感分析和问题解答系统方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持在各种应用中实施 BERT 模型并优化其性能。您还将探索预处理文本数据和评估模型准确性的技术，掌握应对真实世界 AI 挑战的实用知识。
热门 BERT 课程和认证
Google Cloud
您将获得的技能: 大型语言模型, 自然语言处理, 生成模型架构, 迁移学习, 嵌入
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
状态：新状态：免费试用您将获得的技能: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Apache Spark, 调试, Docker (软件), 数据处理, 开发环境, 大数据, Kubernetes, Apache Hadoop, PySpark, 分布式计算, 可扩展性, Apache Hive, IBM 云, 数据转换, 性能调整
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
状态：免费试用您将获得的技能: 大型语言模型, 生成式人工智能, 自然语言处理, PyTorch（机器学习库）, 文本挖掘, 应用机器学习, 迁移学习, 性能调整, 嵌入
状态：预览Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining
状态：免费试用Google Cloud
您将获得的技能: 模型评估, 张力流, 自然语言处理, 递归神经网络 (RNN), AI 工作流程, 深度学习, Google 云端平台, 功能工程, 嵌入, 迁移学习, 人工神经网络
状态：预览Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining, Applied Machine Learning
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 bert 课程
- 变压器模型和 BERT 模型: Google Cloud
- Fine Tune BERT for Text Classification with TensorFlow: Coursera
- Introduction to Transformer Models for NLP: Pearson
- IBM Generative AI Engineering: IBM
- Generative AI Engineering with LLMs: IBM
- Sentiment Analysis with Deep Learning using BERT: Coursera
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- 用 Transformer 建立生成式 AI 语言模型: IBM
- Transformer Models and BERT Model - 한국어: Google Cloud
