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。

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: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending
中级 · 指导项目 · 不超过 2 小时

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

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

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

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
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: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
中级 · 指导项目 · 不超过 2 小时

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

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

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), 面向对象编程(OOP), Keras(神经网络库), 数据操作, Python 程序设计, Pandas(Python 软件包), 数据可视化, NumPy, Matplotlib, Seaborn
初级 · 课程 · 1-3 个月

AI CERTs
您将获得的技能: Responsible AI, Tensorflow, PyTorch (Machine Learning Library), Anomaly Detection, AI Personalization, Internet Of Things, Telecommunications, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Wireless Networks, Generative AI, Emerging Technologies, Generative AI Agents, Network Performance Management, Digital Communications, Network Architecture, Network Protocols, Computer Networking, Communication, System Design and Implementation
高级设置 · 专项课程 · 1-3 个月