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。

您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision
★ 4.7 (78) · 中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · 高级设置 · 课程 · 1-4 周

Microsoft
您将获得的技能: 机器学习, Scikit Learn(机器学习库), 模型评估, 机器学习算法, 云计算管理, 分类算法, 回归分析, 无监督学习, 预测建模, 监督学习, 数据转换, MLOps(机器学习运营), 人工智能和机器学习(AI/ML), Microsoft Azure, 数据管道, Databricks, 负责任的人工智能, 模型部署, 应用机器学习, Model Evaluation, 模型培训, 微软 Azure
★ 4.3 (178) · 中级 · 课程 · 1-4 周

Packt
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
★ 4.3 (7) · 中级 · 专项课程 · 3-6 个月

您将获得的技能: Google Cloud Platform, Dataflow, Data Pipelines, Data Import/Export, Feature Engineering, Data Lakes, Real Time Data, Dashboard Creation, Tensorflow, Data Governance, Apache Kafka, Cloud Engineering, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load, Model Deployment
★ 4.3 (82) · 中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: 生成模型架构, 生成式人工智能, 生成式对抗网络(GANs), 降维, 数据预处理, 数据可视化, 张力流, Keras(神经网络库), 深度学习, Python 编程, 欺诈检测, 模型培训, 数据综合
★ 4.1 (9) · 中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training
★ 4.6 (233) · 中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Deployment, Data Pipelines, Real Time Data, Google Cloud Platform, Dataflow, Data Warehousing, Dashboard Creation, Data Preprocessing, Data Governance, Big Data, Feature Engineering, Data Lakes, Dashboard, Extract, Transform, Load, Apache Spark, Metadata Management, Data Management, Applied Machine Learning, Tensorflow, PySpark
★ 4.7 (126) · 中级 · 专项课程 · 3-6 个月

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: Pandas(Python 软件包), 面向对象编程(OOP), Scikit Learn(机器学习库), 数据操作, NumPy, Seaborn, Matplotlib, 人工智能和机器学习(AI/ML), 张力流, Python 编程, Keras(神经网络库)
★ 4.6 (26) · 初级 · 课程 · 1-3 个月

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
★ 4 (12) · 初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence
★ 4.4 (27) · 初级 · 项目 · 不超过 2 小时

Microsoft
您将获得的技能: 机器学习, 数据科学, 数据预处理, 模型评估, 机器学习方法, 数据整合, 预测建模, MLOps(机器学习运营), 负责任的人工智能, Databricks, Microsoft Azure, 应用机器学习, 模型培训, Model Evaluation, 模型部署, 微软 Azure
★ 4.4 (80) · 中级 · 课程 · 1-3 个月