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。

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Amazon Web Services, Tensorflow, Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Classification Algorithms, Software Design, Application Development, Model Evaluation
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Fine-tuning, Model Training, Network Architecture
中级 · 课程 · 1-4 周

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

您将获得的技能: Google Cloud Platform, Model Deployment, Tensorflow, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Model Training, Applied Machine Learning, Data Pipelines, Machine Learning, Analytics, Artificial Intelligence
★ 4.8 (12) · 中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Apache Airflow, Model Optimization, 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, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing
高级设置 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: GitHub, 强化学习, 机器学习, 张力流, Google Cloud 平台, 游戏设计
★ 3.7 (10) · 初级 · 项目 · 不超过 2 小时

Coursera
您将获得的技能: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
高级设置 · 专项课程 · 1-3 个月

AI CERTs
您将获得的技能: Business Research, AI literacy, Market Research, Analytical Skills, Business Intelligence, Decision Intelligence, Market Analysis, Trend Analysis, Market Intelligence, Data Analysis, Forecasting, AI Integrations
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Deployment, Google Cloud Platform, Tensorflow, Cloud Deployment, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, AI Workflows, Cloud-Based Integration, Machine Learning
中级 · 项目 · 不超过 2 小时

您将获得的技能: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
中级 · 课程 · 1-3 个月

您将获得的技能: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis
中级 · 课程 · 1-4 周