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“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: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Artificial Neural Networks, Computer Vision, Machine Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Google Cloud Platform, Data Processing, Software Installation
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 机器学习, 数据操作, 预测建模, 回归分析, 人工神经网络, 深度学习, 张力流, 概率与统计
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 机器学习, 计算机视觉, 监督学习, 网络架构, 人工神经网络, 深度学习
是什么让您今天来到 Coursera？
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
状态：新状态：免费试用Coursera
您将获得的技能: Network Architecture
状态：新状态：免费试用Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 线性代数, A/B 测试, 微积分, Machine Learning 方法, 数据转换, 统计推理, 抽样（统计）, NumPy, 降维, 概率, 概率分布, 描述性统计, 统计假设检验, 概率与统计, 数值分析, 统计分析, 贝叶斯统计, 数学建模
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: 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
总之，以下是 10 最受欢迎的 pytorch（机器学习库） 课程
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- 神经网络和 PyTorch 简介: IBM
- Machine Learning with PyTorch and Scikit-Learn: Packt
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 PyTorch 进行深度学习: IBM
- Learning Deep Learning: Pearson
- Deep Learning with PyTorch: Coursera
- Programming Generative AI: Pearson
- 机器学习和数据科学数学: DeepLearning.AI
