筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“pytorch(机器学习库)” 的结果
- 状态:新状态:免费试用
您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
- 状态:免费试用
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
- 状态:免费试用
您将获得的技能: Data Pipelines, Dataflow, Google Cloud Platform, Data Lakes, Looker (Software), Real Time Data, Cloud Engineering, Big Data, Data Warehousing, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Unstructured Data, Dashboard, MLOps (Machine Learning Operations), Extract, Transform, Load, Tensorflow, Data Architecture, Analytics, Data Processing
- 状态:新状态:免费试用
您将获得的技能: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation
- 状态:新状态:免费试用
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning
- 状态:新状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
- 状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
- 状态:免费试用
您将获得的技能: 数据伦理, 深度学习, 文本挖掘, 大型语言模型, 生成式人工智能, 统计方法, 人工神经网络, PyTorch(机器学习库), 功能工程, 自然语言处理
- 状态:预览
DeepLearning.AI
您将获得的技能: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning, Python Programming
- 状态:免费试用
Imperial College London
您将获得的技能: 数据处理, 计划发展, 深度学习, 贝叶斯统计, 计算机视觉, 计算机编程, 人工神经网络, 机器学习, 预测建模, 应用机器学习, 张力流, Keras(神经网络库), 监督学习, 生成模型架构, 无监督学习, 数据管道, 图像分析, 数据验证, Machine Learning 方法, 自然语言处理
- 状态:预览
DeepLearning.AI
您将获得的技能: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing
总之,以下是 10 最受欢迎的 pytorch(机器学习库) 课程
- AI with Python: Apply & Implement ML Models: EDUCBA
- Generative AI Engineering with LLMs: IBM
- Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
- Programming Generative AI: Unit 1: Pearson
- Learning Deep Learning: Unit 3: Pearson
- Introduction to Transformer Models for NLP: Unit 1: Pearson
- Learning Deep Learning: Unit 2: Pearson
- Foundations and Core Concepts of PyTorch: Packt
- Gen AI 用于 NLP 和语言理解的基础模型: IBM
- AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI