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。

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: 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: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
高级设置 · 课程 · 3-6 个月

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

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: 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

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

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

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: 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

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

Coursera
您将获得的技能: 生成式人工智能, Python 程序设计, 数据预处理, 生成对抗网络 (GAN), 欺诈检测, 降维, Keras(神经网络库), 张力流, 数据综合, 数据可视化, 深度学习, 探索性数据分析, 异常检测
中级 · 指导项目 · 不超过 2 小时