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。

Edureka
您将获得的技能: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression
中级 · 课程 · 1-4 周

您将获得的技能: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming
混合 · 课程 · 1-4 周

Microsoft
您将获得的技能: 数据分析, 模型培训, 卷积神经网络, 迁移学习, 探索性数据分析, Databricks, 回归分析, 预测建模, PyTorch(机器学习库), 人工智能和机器学习(AI/ML), Microsoft Azure, 应用机器学习, 图像分析, 数据科学, 数据可视化, 无监督学习, 深度学习, 机器学习, Scikit Learn(机器学习库), 微软 Azure, Transfer Learning, 分类算法
★ 4.5 (331) · 中级 · 课程 · 1-4 周

您将获得的技能: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance
中级 · 课程 · 1-4 周

您将获得的技能: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 模型培训, 监督学习, 数据转换, 机器学习算法, 回归分析, 模型评估, 人工智能和机器学习(AI/ML), 云计算管理, 应用机器学习, 预测建模, MLOps(机器学习运营), Databricks, Microsoft Azure, Scikit Learn(机器学习库), 无监督学习, 机器学习, 微软 Azure, 分类算法, 负责任的人工智能, 数据管道, 模型部署, Model Evaluation
★ 4.3 (178) · 中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Multimodal Prompts, Artificial Intelligence
中级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Machine Learning Methods, Scripting Languages, Statistical Machine Learning, Scripting, Programming Principles
★ 4.2 (55) · 中级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence
★ 4.4 (27) · 初级 · 项目 · 不超过 2 小时