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所有结果

  • DeepLearning.AI

    您将获得的技能: 降维, 逻辑回归, 数据预处理, 马尔可夫模型, 自然语言处理, 微调, 迁移学习, 深度学习, 递归神经网络 (RNN), 人工神经网络, 功能工程, 监督学习, 机器学习方法, 嵌入, 文本挖掘, 应用机器学习, 大型语言建模, 统计机器学习, Transfer Learning, 张力流, 分类算法

  • 您将获得的技能: 模型培训, 生成式人工智能, PyTorch(机器学习库), 自然语言处理, Model Evaluation, 模型优化, 迁移学习, 数据伦理, 人工神经网络, 模型评估, 文本挖掘, 嵌入, 生成模型架构, 负责任的人工智能, 分类算法, 大型语言建模, 功能工程, Transfer Learning

  • 您将获得的技能: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

  • 您将获得的技能: 人工智能扫盲, 生成式人工智能, 自然语言处理, 机器人, 风险缓解, 生成模型架构, 法学硕士申请, 负责任的人工智能

  • 您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming

  • 您将获得的技能: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing

是什么让您今天来到 Coursera?

  • 您将获得的技能: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Deep Learning, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Python Programming

  • 您将获得的技能: 模型培训, Keras(神经网络库), 自然语言处理, 深度学习, 迁移学习, 人工神经网络, 人工智能工作流程, 递归神经网络 (RNN), Google Cloud 平台, 张力流, 功能工程, 云 API, 大型语言建模, 嵌入, Transfer Learning

  • 您将获得的技能: Fine-tuning, 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, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

  • 您将获得的技能: 生成式人工智能, Prompt Engineering, PyTorch(机器学习库), 机器学习, Keras(神经网络库), 数据科学, Apache Spark, 微调, 无监督学习, 法学硕士申请, 生成模型架构, PySpark, 计算机视觉, Python 编程, 检索-增强生成, 监督学习, 提示模式, 生成式人工智能代理, 大型语言建模, 矢量数据库, 及时工程

  • 您将获得的技能: 模型培训, 人工智能, 卷积神经网络, 数据预处理, 机器学习, 数据科学, 自然语言处理, Model Evaluation, 应用机器学习, 递归神经网络 (RNN), 监督学习, 机器学习方法, 机器学习算法, 人工神经网络, 文本挖掘, 预测建模, 张力流, 模型评估, 深度学习, 数据处理, 分类算法

  • 您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation