深度学习课程
Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network，以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能，这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具，让您可以实现算法和优化模型，使您的学习体验与当前的行业实践密切相关。
热门 Deep Learning 课程和认证
状态：免费试用您将获得的技能: Generative Model Architectures, ChatGPT, Semantic Web
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Data Preprocessing, Model Evaluation
状态：新状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Generative AI, AI Enablement, AI Product Strategy, AI Security, Google Cloud Platform, Responsible AI, Artificial Intelligence, Decision Making, Cloud Infrastructure, Cloud Platforms, MLOps (Machine Learning Operations)
Google Cloud
您将获得的技能: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, SQL, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Customer Relationship Management
您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Pipelines, Data Transformation, Deep Learning, Artificial Neural Networks, Model Evaluation, Supervised Learning
状态：新状态：免费试用Google Cloud
您将获得的技能: Generative AI Agents, Generative AI, Google Cloud Platform, Gemini, Responsible AI, AI Security, AI Product Strategy, AI Enablement, Data Ethics, Cloud Infrastructure, Data Governance, Artificial Intelligence, Data Centers, MLOps (Machine Learning Operations)
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Governance, Data Management, AI Workflows, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Model Evaluation, Machine Learning, Containerization
Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Store, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Transformation, Data Modeling, Applied Machine Learning, Machine Learning
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Tensorflow, Model Deployment, Google Cloud Platform, Performance Tuning, Machine Learning, Distributed Computing, Data Validation, Hybrid Cloud Computing, Scalability, Data Pipelines, Debugging
总之，以下是 10 最受欢迎的 deep learning 课程
- Working with large language models using Azure: Microsoft
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
- AI Generatif: Memahami Lanskap: Google Cloud
- Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
- Work with Gemini Models in BigQuery - Deutsch: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- 生成式 AI：掌握幕後技術與環境: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Machine Learning in the Enterprise - Italiano: Google Cloud
