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
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Store, Google Cloud Platform, Feature Engineering, Data Modeling, Machine Learning Methods, Data Storage, Data Processing, Applied Machine Learning, Data Quality
您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Transformation, Data Processing, Data Pipelines, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API)
Google Cloud
您将获得的技能: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Artificial Intelligence, Query Languages, Data Analysis
状态：新Google Cloud
您将获得的技能: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
状态：新状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Responsible AI, Cloud Platforms, Artificial Intelligence, LLM Application
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Technical Design, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Methods, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Open Source Technology, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Quality
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment
Google Cloud
您将获得的技能: Semantic Web, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Generative AI, Text Mining, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Responsible AI, Scalability, Algorithms
您将获得的技能: Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Data Modeling, Machine Learning
总之，以下是 10 最受欢迎的 deep learning 课程
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Work with Gemini Models in BigQuery - 日本語版: Google Cloud
- 生成式 AI：剖析基本概念: Google Cloud
- 생성형 AI: 환경 살펴보기: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Français: Google Cloud
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Pesquisa vetorial e embeddings: Google Cloud
