个结果，搜索词为 "pytorch (machine learning library)"
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, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
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：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Tensorflow, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Transfer Learning, Image Analysis, Autoencoders, Applied Machine Learning, Artificial Neural Networks, Generative AI, Time Series Analysis and Forecasting, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 模型评估, 监督学习, 深度学习, 逻辑回归, 人工神经网络, 回归分析, 分类算法, 张力流, 卷积神经网络, 图像分析, 人工智能和机器学习（AI/ML）
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 Neural Networks, Artificial Intelligence, Algorithms, Python Programming
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 监督学习, 模型评估, Machine Learning 方法, 深度学习, 人工神经网络, 分类算法, 逻辑回归, 应用机器学习, 卷积神经网络, 人工智能和机器学习（AI/ML）
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: 概率与统计, 数据操作, 机器学习, 微积分, 数据科学, 抽样（统计）, 应用数学, 描述性统计, 降维, NumPy, 统计机器学习, 概率, 统计假设检验, 机器学习算法, 贝叶斯统计, 探索性数据分析, 数值分析, 数据转换, 概率分布, 线性代数
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：新状态：免费试用您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
状态：免费试用Imperial College London
您将获得的技能: 计算机视觉, 自动编码器, 模型评估, 自然语言处理, 监督学习, 深度学习, 迁移学习, 数据管道, 人工神经网络, 模型部署, 递归神经网络 (RNN), Keras（神经网络库）, 卷积神经网络, 应用机器学习, 贝叶斯统计, 概率分布, 生成模型架构, 张力流, 图像分析, 数据预处理
状态：免费试用您将获得的技能: 机器学习, 预测建模, 模型评估, Scikit-learn （机器学习库）, 决策树学习, 监督学习, 降维, Python 程序设计, 分类算法, 回归分析, 无监督学习, 逻辑回归, 应用机器学习, 数据预处理
总之，以下是 10 最受欢迎的 pytorch (machine learning library) 课程
- PyTorch for Deep Learning: DeepLearning.AI
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 神经网络和 PyTorch 简介: IBM
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 使用 PyTorch 进行深度学习: IBM
- 机器学习和数据科学数学: DeepLearning.AI
- PyTorch: Fundamentals: DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
