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: 迁移学习, 嵌入, 自然语言处理, 生成模型架构, 大型语言模型
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
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
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: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 调试, PySpark, 开发环境, 分布式计算, Apache Hadoop, Kubernetes, 数据处理, 可扩展性, 大数据, Docker (软件), 性能调整, Apache Hive, 数据转换, Apache Spark, IBM 云
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 迁移学习, 自然语言处理, 嵌入, 生成式人工智能, 大型语言模型, 应用机器学习, 性能调整, 文本挖掘
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Google Cloud
您将获得的技能: AI 工作流程, 迁移学习, 深度学习, Google 云端平台, 张力流, 嵌入, 自然语言处理, 递归神经网络 (RNN), 人工神经网络, 模型评估, 功能工程
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DeepLearning.AI
您将获得的技能: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
是什么让您今天来到 Coursera？
与 bert 相关的搜索
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
- Introduction to Transformer Models for NLP: Pearson
- IBM Generative AI Engineering: IBM
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Generative AI Engineering with LLMs: IBM
- Fine Tune BERT for Text Classification with TensorFlow: Coursera
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- 用 Transformer 建立生成式 AI 语言模型: IBM
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- 谷歌云上的自然语言处理: Google Cloud
