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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
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课程长度必需的
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教师必需的
“keras（神经网络库）” 的结果
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
状态：新状态：免费试用您将获得的技能: Generative AI, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), Large Language Modeling, Infrastructure Architecture, Performance Tuning, Application Deployment, Site Reliability Engineering, Enterprise Architecture, Continuous Deployment, Continuous Monitoring, Technology Strategies, Process Optimization, Automation, Job Evaluation
状态：预览DeepLearning.AI
您将获得的技能: Tensorflow, Deep Learning, Data Compilation, Test Data, Statistical Analysis, Artificial Neural Networks, Analysis, Performance Tuning, Machine Learning Algorithms, Machine Learning, Algorithms
状态：预览Sungkyunkwan University
您将获得的技能: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Model, Machine Learning
状态：免费试用您将获得的技能: Google Cloud Platform, Data Pipelines, Dataflow, Unstructured Data, Data Lakes, Looker (Software), Big Data, MLOps (Machine Learning Operations), Real Time Data, Cloud Engineering, Data Warehousing, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Dashboard, Extract, Transform, Load, Data Architecture, Analytics, Data Processing, Apache Spark
您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
状态：预览Universidad de los Andes
您将获得的技能: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting
状态：预览National Taiwan University
您将获得的技能: Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Machine Learning, Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Deep Learning, Unsupervised Learning, Regression Analysis
状态：预览Google Cloud
您将获得的技能: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Scikit Learn (Machine Learning Library), Containerization
状态：新Google Cloud
您将获得的技能: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Quality, LLM Application, Artificial Intelligence, Data Ethics, Machine Learning
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks
状态：新状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- GenAI Model Development and Production Engineering: Starweaver
- Повышение эффективности глубоких нейросетей: DeepLearning.AI
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
- Introducción al deep learning contemporáneo: Universidad de los Andes
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- ML Pipelines on Google Cloud - 한국어: Google Cloud
- 生成式 AI：瞭解基礎概念: Google Cloud
