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: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing
高级设置 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Tensorflow, AI Enablement, AI Workflows, Cloud Computing Architecture, Performance Tuning, Scenario Testing, Interoperability, Analysis
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Tensorflow, Google Cloud Platform, AI Enablement, Performance Tuning, Cloud Computing Architecture, Interoperability, Scenario Testing, Systems Architecture
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: AI Workflows, Hardware Architecture, Infrastructure Architecture, Cloud Infrastructure, Google Cloud Platform, Model Deployment, Tensorflow, Performance Tuning
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 统计方法, PyTorch(机器学习库), 模型评估, 数据预处理, 概率与统计, 张力流, 回归分析, 逻辑回归, 人工神经网络
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Cloud Infrastructure, Tensorflow, Google Cloud Platform, AI Workflows, Model Deployment, Cloud Computing Architecture, Performance Tuning, Interoperability, Hardware Architecture, Systems Architecture
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 云基础设施, 人工智能, 模型部署, 生成式人工智能, MLOps(机器学习运营), 张力流, 大数据, 及时工程, 监督学习, 机器学习, Google Cloud 平台, 人工智能工作流程
初级 · 课程 · 1-3 个月

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation
高级设置 · 课程 · 1-3 个月