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
您将获得的技能: Azure DevOps, Azure DevOps Pipelines, System Monitoring, Application Deployment, DevOps, Cloud Deployment, Microsoft Azure, Platform As A Service (PaaS), Software Development, GitHub
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Embeddings
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Software Design Patterns, Functional Design, Programming Principles
状态：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Cloud Deployment, Deep Learning, Machine Learning Methods, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Data Transformation, Data Cleansing, Application Programming Interface (API)
状态：新状态：免费试用您将获得的技能: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
状态：新状态：预览Northeastern University
您将获得的技能: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
您将获得的技能: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration
状态：新状态：免费试用您将获得的技能: System Monitoring, Google Workspace, Cloud Management, Endpoint Security, Network Troubleshooting, Security Management, Cloud Applications, Application Deployment, Compliance Auditing, Incident Management, Data Security, Configuration Management, User Provisioning, Taking Meeting Minutes, Annual Reports
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新您将获得的技能: Cloud Development, Microservices, Scalability, Microsoft SQL Servers, Cloud Computing Architecture, Microsoft Visual Studio, Application Deployment
状态：新状态：免费试用您将获得的技能: Robotic Process Automation, Business Process Automation, Automation, Debugging, Test Automation, Configuration Management, Continuous Integration
总之，以下是 10 最受欢迎的 deep learning 课程
- Integrando DevOps con Azure App Service: Coursera
- Dönüştürücü Modelleri ve BERT Modeli: Google Cloud
- Attention Mechanism - 简体中文: Google Cloud
- Advanced Python Features and Functions: Packt
- Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
- Linear Regression with R: Build & Optimize: EDUCBA
- Machine Learning and Data Analytics Part 1: Northeastern University
- H2O Cloud AI Developer Services: H2O.ai
- Google Workspace: Device Management, Monitoring and Auditing: Whizlabs
- Attention Mechanism - Español: Google Cloud
