PyTorch 课程
PyTorch 课程可以帮助您学习神经网络设计、模型训练和深度学习技术。您可以掌握数据预处理、超参数调优以及实现卷积和递归网络的技能。许多课程介绍了用于可视化的 TensorBoard 和用于交互式编码的 Jupyter Notebook 等工具，展示了这些技能如何应用于涉及图像识别、自然语言处理和人工智能 (AI) 其他领域的项目中。
PyTorch 热门课程和认证
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：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University of Colorado Boulder
您将获得的技能: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), PyTorch (Machine Learning Library), Vision Transformer (ViT), Scikit Learn (Machine Learning Library), Large Language Modeling, Embeddings, Network Architecture, Data Transformation, Algorithms
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, 人工智能和机器学习（AI/ML）, 监督学习, 模型评估, 人工神经网络, 逻辑回归, 深度学习, 回归分析, 图像分析, 张力流
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 (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
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 分类算法, 卷积神经网络, 人工智能和机器学习（AI/ML）, 监督学习, 模型评估, 深度学习, 人工神经网络, 逻辑回归, 应用机器学习, Machine Learning 方法
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：免费试用您将获得的技能: 数据操作, Pandas（Python 软件包）, 脚本, 数据导入/导出, 面向对象编程（OOP）, NumPy, 数据结构, 计算机编程, 数据分析软件, 编程原则, 数据分析, 网页抓取, Python 程序设计, Jupyter, 网络服务
状态：免费试用IBM
您将获得的技能: 卷积神经网络, 机器学习, PyTorch（机器学习库）, 数据科学, 计算机视觉, PySpark, LLM 申请, 大型语言模型, 生成模型架构, 生成式人工智能, 检索-增强生成, 模型评估, 监督学习, Prompt Engineering, Apache Spark, Python 程序设计, Keras（神经网络库）, 应用机器学习, 深度学习, 无监督学习
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
总之，以下是 10 最受欢迎的 pytorch 课程
- PyTorch for Deep Learning: DeepLearning.AI
- PyTorch: Fundamentals: DeepLearning.AI
- Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
- 神经网络和 PyTorch 简介: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- 使用 PyTorch 进行深度学习: IBM
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 用于数据科学、人工智能和开发的 Python: IBM
- IBM 人工智能工程: IBM
