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。

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

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: 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: 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

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

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

Universidad Austral
您将获得的技能: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
初级 · 课程 · 1-4 周

Universidades Anáhuac
您将获得的技能: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks
中级 · 专项课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
初级 · 课程 · 1-4 周

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

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