TensorFlow 课程
TensorFlow 课程可以帮助您学习神经网络、深度学习技术和模型部署策略。您可以掌握数据预处理、超参数调整和性能评估方面的技能。许多课程都会介绍用于构建模型的 Keras、用于可视化的 TensorBoard 等工具，以及用于将 AI 集成到应用程序中的各种 API。
热门 TensorFlow 课程和认证
Google Cloud
您将获得的技能: Google 云端平台, 张力流, 分布式计算, 云计算, 应用机器学习, 图像分析
状态：预览您将获得的技能: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Supervised Learning, Deep Learning, Image Analysis, Machine Learning, Performance Tuning
Google Cloud
您将获得的技能: Google 云端平台, 预测建模, 应用程序部署, 机器学习, 张力流, 数据科学, 数据处理, 应用机器学习
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
状态：免费试用Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
状态：免费试用您将获得的技能: Tensorflow, Keras (Neural Network Library), Feature Engineering, Data Pipelines, Google Cloud Platform, Deep Learning, Data Processing, Artificial Neural Networks, Application Deployment, Data Transformation, Scalability, Machine Learning, Application Programming Interface (API)
您将获得的技能: Tensorflow, Image Analysis, Google Cloud Platform, Computer Vision, Deep Learning, Data Collection, Visualization (Computer Graphics)
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, JSON, 张力流, 机器学习, Javascript, 数据处理, 深度学习, 图像分析, Keras（神经网络库）, 网络应用, 实时数据, 应用机器学习
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：预览Google Cloud
您将获得的技能: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization
您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Processing, Feature Engineering, Scalability, Data Transformation, Application Deployment, Artificial Neural Networks, Data Pipelines, Machine Learning, Performance Tuning
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
与 tensorflow 相关的搜索
总之，以下是 10 最受欢迎的 tensorflow 课程
- 使用顶点人工智能运行分布式 TensorFlow: Google Cloud
- Getting Started with Machine Learning at the Edge on Arm: Arm
- 利用人工智能平台上的 TensorFlow 预测婴儿体重: Google Cloud
- Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
- AI & Deep Learning Concepts and Applications: Simplilearn
- Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
- Identify Horses or Humans with TensorFlow and Vertex AI: Google Cloud
- 基于浏览器的 TensorFlow.js 模型: DeepLearning.AI
- Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
- ML Pipelines on Google Cloud en Español: Google Cloud
