个结果，搜索词为 "pytorch (machine learning library)"
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning
状态：预览The University of Chicago
您将获得的技能: 回归分析, 机器学习算法, 无监督学习, Scikit-learn （机器学习库）, 数据预处理, 监督学习, 降维, Keras（神经网络库）, 深度学习, 机器学习, 统计方法, 分类算法, Pandas（Python 软件包）, 随机森林算法, Model Evaluation, 应用机器学习, 张力流, 功能工程
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
状态：免费试用状态：人工智能技能University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
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), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
状态：新状态：免费试用状态：人工智能技能DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 数学建模, 抽样（统计）, 数据预处理, 概率分布, 数值分析, 统计分析, NumPy, 统计假设检验, 机器学习, 降维, 贝叶斯统计, 概率, 概率与统计, 统计推理, 微积分, A/B 测试, Machine Learning 方法, 线性代数, 应用数学
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), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence
状态：免费试用您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 卷积神经网络, 分类算法, 深度学习, 人工神经网络, 应用机器学习, 监督学习, Model Evaluation
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
状态：新状态：免费试用您将获得的技能: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 pytorch (machine learning library) 课程
- PyTorch: Fundamentals: DeepLearning.AI
- 机器学习：概念与应用: The University of Chicago
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- PyTorch for Deep Learning: DeepLearning.AI
- 机器学习和数据科学数学: DeepLearning.AI
- Generative AI Engineering with LLMs: IBM
- Spark and Python for Big Data with PySpark: EDUCBA
- 使用 PyTorch 进行深度学习: IBM
