神经网络
神经元网络知识库可以帮助您了解如何建立、训练和优化模型。您可以在建筑设计、数据挖掘、培训技术和模型评估等方面有所建树。许多课程都有 KI-Praxis 框架和要点。
令人信服的神经网络工具和证书
您将获得的技能: Cloud Security, Cloud Computing Architecture, Network Planning And Design, Cloud Infrastructure, Google Cloud Platform, Cloud Solutions, Solution Architecture, Cloud Computing, Process Analysis, IT Infrastructure, Infrastructure Architecture, Cloud Deployment, Process Optimization, Cloud Platforms, Cloud Management, Key Performance Indicators (KPIs), Cost Reduction, Business Requirements
您将获得的技能: Cloud Management, Google Cloud Platform, Cloud Storage, Command-Line Interface, Capacity Management, Scalability, Data Management
您将获得的技能: Application Deployment, Cloud Deployment, Cloud Infrastructure, Google App Engine, Kubernetes, Google Cloud Platform, Network Architecture, Microservices, Site Reliability Engineering, CI/CD, Cloud Engineering, Cloud Applications, Continuous Deployment, Distributed Denial-Of-Service (DDoS) Attacks, API Design, Cloud Computing, Service Level, Cloud Computing Architecture, Restful API, Cloud Storage
状态：预览Google Cloud
您将获得的技能: Model Deployment, Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Google Cloud Platform, Applied Machine Learning, Model Evaluation, Machine Learning, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging
状态：新状态：免费试用您将获得的技能: Regulatory Compliance
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, Apache Airflow, CI/CD, Tensorflow, Model Deployment, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, AI Workflows, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Continuous Deployment, Feature Engineering, Model Evaluation, Containerization, Scalability, Data Validation
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Data Validation, Model Evaluation, Technical Design, Performance Tuning, Distributed Computing, Cloud Deployment, Scalability, Data Pipelines, Debugging
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Validation, Google Cloud Platform, Tensorflow, Transfer Learning, Systems Architecture, Distributed Computing, Performance Tuning, Solution Architecture, Model Evaluation, Scalability, Machine Learning, Data Pipelines
您将获得的技能: Cloud Computing Architecture, Cloud Infrastructure, Process Optimization, Cloud Deployment, Cloud Management, Cloud Security, Solution Architecture, Google Cloud Platform, Cloud Computing, Solution Design, Scalability, Case Studies
总之，以下是 9 最受欢迎的 neural network 课程
- Preparing for Your Cloud Architect Journey - Español: Google Cloud
- Managing NetApp Cloud Volumes ONTAP for Google Cloud with Advanced Tools: Google Cloud
- Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
- Production Machine Learning Systems - Français: Google Cloud
- Bitcoin Threats & Future Security : AI CERTs
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- Production Machine Learning Systems - Português Brasileiro : Google Cloud
- Preparing for Your Cloud Architect Journey - 日本語版: Google Cloud
