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
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
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: 模型培训, 预测分析, 统计方法, 数据处理, 模型评估, 回归分析, 人工神经网络, 概率与统计, 应用机器学习, 监督学习, PyTorch（机器学习库）, 逻辑回归, 预测建模, 深度学习, 机器学习, 张力流, 模型优化, 分类算法, Model Evaluation, 数据预处理
您将获得的技能: Transfer Learning, Model Evaluation, PyTorch (Machine Learning Library), Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Logistic Regression, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs)
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
您将获得的技能: 模型培训, 人工神经网络, 卷积神经网络, PyTorch（机器学习库）, 深度学习, 模型评估, 应用机器学习, 图像分析, 人工智能和机器学习（AI/ML）, 模型优化, 分类算法, Model Evaluation
是什么让您今天来到 Coursera？
IBM
您将获得的技能: 生成式人工智能, 计算机视觉, Prompt Engineering, 视觉转换器（ViT）, 无监督学习, 生成模型架构, 迁移学习, 大型语言建模, 模型评估, PyTorch（机器学习库）, 检索-增强生成, 矢量数据库, 及时工程, 及时的工程工具, 数据科学, 机器学习, Transfer Learning, Keras（神经网络库）, Apache Spark, PySpark, 微调, Python 编程, Model Evaluation
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, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software
您将获得的技能: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
DeepLearning.AI
您将获得的技能: 生成式人工智能, 计算机视觉, 人工神经网络, 卷积神经网络, 生成模型架构, 大型语言建模, PyTorch（机器学习库）, MLOps（机器学习运营）, 深度学习, 软件可视化, 模型优化, 嵌入, 模型部署
您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming
Coursera
您将获得的技能: 模型培训, 递归神经网络 (RNN), 卷积神经网络, 迁移学习, 模型评估, 模型优化, Transfer Learning, Model Evaluation
总之，以下是 10 最受欢迎的 pytorch 课程
- PyTorch for Deep Learning: DeepLearning.AI
- PyTorch: Fundamentals: DeepLearning.AI
- 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
- IBM 人工智能工程: IBM
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Python Machine Learning By Example: Packt
- PyTorch：高级架构和部署: DeepLearning.AI
