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 Processing, Machine Learning Methods, Data Store, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Data Modeling, Statistical Methods
中级 · 课程 · 1-3 个月

您将获得的技能: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance
中级 · 课程 · 1-4 周

您将获得的技能: Model Training, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Hybrid Cloud Computing, Debugging, Dependency Analysis
高级设置 · 课程 · 1-3 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Google Cloud Platform, Model Optimization, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Validation, Model Evaluation, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Pipelines, Dependency Analysis, Debugging
高级设置 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 模型培训, 人工神经网络, 迁移学习, 微调, 图像分析, 应用机器学习, 深度学习, 计算机视觉, Transfer Learning, 数据预处理, 卷积神经网络, 嵌入, 网络架构, 张力流
★ 4.9 (4.3万) · 中级 · 课程 · 1-4 周

多位教师
您将获得的技能: 模型培训, Model Evaluation, 负责任的人工智能, 决策树学习, 迁移学习, 分类算法, 数据伦理, Jupyter, 机器学习方法, NumPy, 应用机器学习, 深度学习, 人工智能, 机器学习, Transfer Learning, 模型评估, 张力流, 预测建模, 无监督学习, Scikit Learn(机器学习库), 机器学习算法, 监督学习
★ 4.9 (3.9万) · 初级 · 专项课程 · 1-3 个月

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing
★ 4.4 (4960) · 中级 · 专业证书 · 3-6 个月

您将获得的技能: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 逻辑回归, 数据处理, 机器学习方法, 应用机器学习, 深度学习, 机器学习, 数据预处理, 概率与统计, 统计方法, 回归分析, 预测建模, 张力流, PyTorch(机器学习库), 监督学习
★ 4.4 (1904) · 中级 · 课程 · 1-3 个月

IBM
您将获得的技能: Model Evaluation, 模型培训, 迁移学习, 机器学习方法, 微调, 分类算法, 深度学习, 计算机视觉, Transfer Learning, 卷积神经网络, 模型评估, 图像质量, 网络架构
★ 4.3 (1435) · 中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Evaluation, 模型培训, 生成式人工智能, 数据基础设施, 多模式提示, 应用机器学习, 及时工程, 人工智能工作流程, 人工智能, 机器学习, Prompt Engineering, 生成式人工智能代理, 生成模型架构, 云基础设施, MLOps(机器学习运营), 模型评估, Google Cloud 平台, Google 双子座, 监督学习, 张力流, 模型部署
★ 4.6 (329) · 初级 · 课程 · 1-3 个月