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：预览您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
状态：新您将获得的技能: Cloud Development, Microservices, Scalability, Microsoft SQL Servers, Cloud Computing Architecture, Microsoft Visual Studio, Application Deployment
状态：新状态：免费试用您将获得的技能: Kubernetes, Network Troubleshooting, Authentications, Debugging, Event Monitoring, System Monitoring, Application Deployment, API Design, Application Programming Interface (API), Command-Line Interface
您将获得的技能: Responsible AI, Business Ethics, Google Cloud Platform, AI Enablement, Artificial Intelligence, AI Product Strategy, Ethical Standards And Conduct, Program Development, Applied Machine Learning, Auditing, Machine Learning
状态：新您将获得的技能: Responsible AI, Generative AI, AI Security, Large Language Modeling, Google Cloud Platform, Model Deployment, Data Modeling, Artificial Intelligence, Business Solutions, Unstructured Data, Machine Learning, Data Quality
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
状态：新您将获得的技能: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, Model Deployment, Data Ethics, No-Code Development, Model Evaluation, Responsible AI, Application Development, Transfer Learning, Application Programming Interface (API)
状态：免费试用您将获得的技能: Microsoft Teams, Azure Active Directory, Collaborative Software, Identity and Access Management, Windows PowerShell, Remote Access Systems, System Configuration, Security Management, Configuration Management, Live Streaming
状态：新状态：免费试用您将获得的技能: Endpoint Security, Mobile Security, Cloud Security, Application Security, Cloud Deployment, Malware Protection, Information Systems Security, Virtual Machines, Virtualization, Firewall, Intrusion Detection and Prevention, Security Awareness, Containerization, User Provisioning
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, AI Security, AI Product Strategy, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Artificial Intelligence, Data Security, Applied Machine Learning, Data Integrity, Machine Learning, Model Evaluation, Data Visualization Software, Encryption, Identity and Access Management, Data Quality
状态：新状态：免费试用您将获得的技能: Animation and Game Design, Unity Engine, User Interface (UI), Game Design, Video Game Development, User Interface (UI) Design, Visualization (Computer Graphics), C# (Programming Language), Scripting
状态：新状态：免费试用Edureka
您将获得的技能: API Gateway, Authentications, Application Programming Interface (API), OAuth, API Design, Cloud API, Authorization (Computing), Secure Coding, API Testing, Restful API, Threat Modeling, Application Security, Data Security, Distributed Denial-Of-Service (DDoS) Attacks, Identity and Access Management, Encryption, Prometheus (Software), Flask (Web Framework), Grafana, Python Programming
总之，以下是 10 最受欢迎的 deep learning 课程
- Python: Master House Price Prediction with Linear Regression: EDUCBA
- Learn Azure Serverless Functions in a Weekend: Packt
- Certified Kubernetes Application Developer (CKAD): Unit 6: Pearson
- Responsible AI: Applying AI Principles with GC - 繁體中文: Google Cloud
- IA générative : découvrir les concepts fondamentaux: Google Cloud
- Machine Learning Projects in R with Caret: EDUCBA
- From Recipe to Chef - Become an LLM Engineer: Packt
- MS Teams – Guest Access and Collaboration Management: Packt
- (SSCP) Systems Security Certified Practitioner: Unit 6: Pearson
- Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
