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。

Coursera
您将获得的技能: 模型培训, Model Evaluation, 科学可视化, 数据科学, 应用机器学习, 分类算法, 机器学习方法, 模型优化, 统计机器学习, 云计算, 机器学习, 数据预处理, 机器学习软件, 预测建模, 张力流, Python 编程, 模型评估, Scikit Learn(机器学习库)
★ 4.6 (162) · 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, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
★ 3.9 (9) · 初级 · 课程 · 1-3 个月

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

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

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, 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
★ 3.5 (14) · 初级 · 专项课程 · 1-3 个月

Microsoft
您将获得的技能: 微软 Azure, 模型培训, Model Evaluation, 大数据, 分布式计算, 数据处理, 探索性数据分析, 机器学习方法, PySpark, 数据湖, 深度学习, 机器学习, Apache Spark, Databricks, 模型评估, 数据转换, Microsoft Azure, 数据管道, MLOps(机器学习运营), 数据操作, 模型部署
★ 3.1 (79) · 中级 · 课程 · 1-3 个月

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

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

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

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: 微软 Azure, 数据安全, Model Evaluation, 模型培训, 信息隐私, 负责任的人工智能, 应用机器学习, 模型优化, 云计算管理, 云计算, 机器学习, 数据预处理, 数据管道, Microsoft Azure, MLOps(机器学习运营), 模型评估, 数据存储, Databricks, 模型部署
★ 3.7 (71) · 中级 · 课程 · 1-3 个月

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