深度学习课程
Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network，以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能，这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具，让您可以实现算法和优化模型，使您的学习体验与当前的行业实践密切相关。
热门 Deep Learning 课程和认证
状态：新状态：免费试用您将获得的技能: Azure Active Directory, Microsoft Azure, Platform As A Service (PaaS), Cloud Applications, Cloud Development, Cloud Deployment, SQL Server Integration Services (SSIS), Active Directory, Cloud Services, Identity and Access Management, Application Development, Data Store, Application Deployment, Authentications, Data Integration, Data Storage Technologies, Cloud Storage, Debugging, Data Persistence, File Transfer Protocol (FTP)
状态：免费试用您将获得的技能: Unreal Engine, Animations, 3D Assets, Game Design, Video Game Development
状态：新状态：免费试用Fractal Analytics
您将获得的技能: Responsible AI, Data Ethics, AI Security, Data Governance, AI Workflows, Data Pipelines, Data Transformation, Governance, Data Integrity, Data Quality, MLOps (Machine Learning Operations), Information Assurance, Risk Modeling, Metadata Management, Data Security
状态：预览Edureka
您将获得的技能: Systems Development, Database Application, Web Applications, Scrum (Software Development)
您将获得的技能: Vector Databases, Large Language Modeling, LangChain, Embeddings, NoSQL, Database Systems, Databases, OpenAI API, Data Management, Development Environment, Unstructured Data, Real Time Data, Scalability, Data Analysis
状态：新状态：免费试用您将获得的技能: Test Case, Kubernetes, Scenario Testing, Simulations, Scripting, Command-Line Interface
状态：新状态：免费试用您将获得的技能: Data Validation, Object Oriented Programming (OOP), Customer Data Management, Business Logic, Financial Data, User Interface (UI), Program Development, Real Time Data, Command-Line Interface, Scripting, Application Development, Python Programming
状态：新状态：预览您将获得的技能: Data Visualization, Data Presentation, Regression Analysis, Predictive Modeling, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Scatter Plots, Microsoft Excel
状态：预览Google Cloud
您将获得的技能: Responsible AI, Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement
您将获得的技能: Debugging, Git (Version Control System), C# (Programming Language), .NET Framework, Development Environment, Integrated Development Environments, Program Development, Microsoft Development Tools, Software Development Tools, Configuration Management
状态：免费Johns Hopkins University
您将获得的技能: Algorithms, Responsible AI, Policy Analysis, Social Justice, Public Policies, Diversity Awareness, Data Ethics, Machine Learning
状态：新状态：免费试用您将获得的技能: Cloud Infrastructure, Virtualization, Software-Defined Data Center (SDDC), VMware ESX Servers, Virtual Machines, Virtualization and Virtual Machines, vCenter Server, Cloud Computing, Containerization
总之，以下是 10 最受欢迎的 deep learning 课程
- Azure Practical - Developing Your Applications: EDUCBA
- Skeletal Meshes and Animation: Packt
- Data Lineage & Ethical Frameworks for Responsible AI: Fractal Analytics
- Building with Retool AI: Edureka
- Essential Concepts of Vector Databases: Packt
- Certified Kubernetes Application Developer (CKAD): Unit 7: Pearson
- Python Case Study - Customer Brokerage Management System: EDUCBA
- Linear Regression & Predictive Modeling with SPSS: EDUCBA
- Introduction to Responsible AI - בעברית: Google Cloud
- Visual Studio Code for C# Developers: Packt
