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主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
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字幕必需的
教师必需的
“keras（神经网络库）” 的结果
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms, Verification And Validation
Google Cloud
您将获得的技能: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing
状态：免费试用Google Cloud
您将获得的技能: Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Feature Engineering, Performance Tuning, Deep Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Google Cloud Platform, Financial Analysis
状态：新Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, Responsible AI, AI Product Strategy, Cloud Infrastructure, Data Governance, Artificial Intelligence, Personally Identifiable Information, No-Code Development, Data Centers, Business Planning
状态：免费试用您将获得的技能: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
Google Cloud
您将获得的技能: Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Deep Learning, Cloud Computing
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 张力流, 人工智能, Algorithm, 机器学习算法, 人工神经网络, 网络架构, 应用机器学习, 分析, 性能调整, 深度学习
Google Cloud
您将获得的技能: Threat Modeling, Threat Management, Security Strategy, Responsible AI, Data Security, Cloud Security, AI Product Strategy, Information Systems Security, Application Security, Data Ethics, Security Controls, Infrastructure Security, Artificial Intelligence, Security Engineering, Cyber Risk, Generative AI, Machine Learning
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring
您将获得的技能: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring, Cloud Management, Cloud Storage, Data Management
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- Learning Deep Learning: Unit 2: Pearson
- Améliorez les réseaux neuronaux profonds: DeepLearning.AI
- Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
- Art and Science of Machine Learning 日本語版: Google Cloud
- 生成式 AI：掌握幕後技術與環境: Google Cloud
- Advanced Machine Learning and Deep Learning: Packt
- Introduction to Convolutions with TensorFlow: Google Cloud
- Building and Training Neural Networks with PyTorch: Packt
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
- Pengantar Keamanan di Dunia AI: Google Cloud
