个结果，搜索词为 "pytorch (machine learning library)"
DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning
您将获得的技能: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, AI Workflows, Machine Learning Methods, Data Science, Computer Programming, Web Frameworks, Application Development, UI Components, Web Development Tools, User Interface (UI)
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, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms
DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing
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, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
是什么让您今天来到 Coursera？
您将获得的技能: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling
您将获得的技能: 卷积神经网络, 模型培训, 人工神经网络, 模型评估, 分类算法, 图像分析, 深度学习, Model Evaluation, 模型优化, 人工智能和机器学习（AI/ML）, 应用机器学习, PyTorch（机器学习库）
您将获得的技能: 模型培训, 模型评估, 人工神经网络, 概率与统计, 逻辑回归, Model Evaluation, 模型优化, 回归分析, PyTorch（机器学习库）, 应用机器学习, 统计方法, 预测建模, 张力流, 数据处理
DeepLearning.AI
您将获得的技能: 概率与统计, 机器学习方法, 概率分布, 应用数学, 抽样（统计）, 统计假设检验, 数据转换, 统计资料, 数学软件, 机器学习, 降维, 微积分, 模型优化, 统计推理, 描述性统计, 线性代数, 统计方法, 应用机器学习, 概率, 贝叶斯统计
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression
您将获得的技能: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
总之，以下是 10 最受欢迎的 pytorch (machine learning library) 课程
- PyTorch: Fundamentals: DeepLearning.AI
- Hands-On Data Science with PyTorch & Pandas: Packt
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- Python Machine Learning By Example: Packt
- PyTorch for Deep Learning: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Data Science with Python: Packt
- 使用 PyTorch 进行深度学习: IBM
- 神经网络和 PyTorch 简介: IBM
- 机器学习和数据科学数学: DeepLearning.AI
