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。

Microsoft
您将获得的技能: 机器学习, 持续监测, 模型评估, 信息隐私, 数据预处理, 模型部署, MLOps(机器学习 Operator), 数据安全, 负责任的人工智能, 微软 Azure, 数据管道, 云计算, 性能调整, 数据伦理, 数据库
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
高级设置 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Dataflow, Google Cloud Platform, Data Pipelines, Feature Engineering, Model Deployment, Real Time Data, Data Warehousing, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Extract, Transform, Load, Data Migration, Big Data, Serverless Computing, Unstructured Data, PySpark, Data Processing, Apache Hadoop
中级 · 专项课程 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 模型评估, 机器学习, MLOps(机器学习 Operator), 数据转换, 微软 Azure, 大数据, PySpark, 回归分析, 数据处理, 模型部署, 数据库, 分布式计算, 机器学习软件, 深度学习, 探索性数据分析, Apache Spark
中级 · 课程 · 1-3 个月

您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
初级 · 课程 · 3-6 个月

您将获得的技能: Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Model Deployment, Data Import/Export, Big Data, Tensorflow, Dashboard, Extract, Transform, Load, Apache Spark, Unstructured Data, Data Warehousing, Cloud Engineering, MLOps (Machine Learning Operations), Data Lakes, Applied Machine Learning, Data Preprocessing, PySpark, Data Infrastructure
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Lakes, Dashboard, Data Warehousing, Tensorflow, Data Preprocessing, Data Processing, Apache Spark, Big Data, Data Infrastructure, Cloud Storage, Data Migration, Data Storage, Data Storage Technologies, Performance Tuning, Applied Machine Learning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Google Cloud Platform, Dataflow, Real Time Data, Apache Kafka, Data Pipelines, Data Lakes, PySpark, Tensorflow, Apache Spark, Dashboard, Extract, Transform, Load, Data Import/Export, Data Processing, Data Management, Unstructured Data, Data Warehousing, Data Infrastructure, Big Data, Feature Engineering
中级 · 专项课程 · 3-6 个月

您将获得的技能: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 模型评估, 机器学习, Scikit-learn (机器学习库), 模型部署, 预测建模, MLOps(机器学习 Operator), 无监督学习, 微软 Azure, Virtual Machine, 负责任的人工智能, 数据管道, 分类算法, 回归分析, 应用机器学习, 人工智能和机器学习(AI/ML), 监督学习, 数据库
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, Dataflow, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning Methods, Machine Learning
中级 · 课程 · 1-3 个月