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。

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 张力流, Scikit-learn (机器学习库), Python 程序设计, 面向对象编程(OOP), 数据操作, Matplotlib, 数据可视化, Pandas(Python 软件包), NumPy, Keras(神经网络库), Seaborn
初级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Evaluation, Data Preprocessing
高级设置 · 课程 · 1-3 个月

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

您将获得的技能: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing
中级 · 指导项目 · 不超过 2 小时

Universidad Austral
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Preprocessing, Machine Learning Algorithms, Machine Learning
中级 · 课程 · 1-4 周

The University of Chicago
您将获得的技能: 机器学习算法, 无监督学习, 张力流, Scikit-learn (机器学习库), 分类算法, 模型评估, 机器学习, 深度学习, 统计方法, 监督学习, 随机森林算法, Keras(神经网络库), 回归分析, 应用机器学习, Pandas(Python 软件包), 功能工程, 数据预处理, 降维
中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 探索性数据分析, 无监督学习, Scikit-learn (机器学习库), 监督学习, 数据展示, Python 程序设计, 机器学习, 人工神经网络, 技术交流, 数据分析, 回归分析, 应用机器学习, Keras(神经网络库)
高级设置 · 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, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 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: 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

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