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: Unreal Engine, Virtual Environment, Post-Production, Game Design, 3D Assets, Adobe Photoshop, Conceptual Design, Design Elements And Principles, Creativity
您将获得的技能: Data Persistence, Retrieval-Augmented Generation, LLM Application, OpenAI API, Full-Stack Web Development, Restful API, Development Environment, Vector Databases, Embeddings, Application Deployment, JSON, Data Integration
状态：新状态：免费试用您将获得的技能: Interactive Design, User Interface and User Experience (UI/UX) Design, Scripting
状态：新状态：免费试用您将获得的技能: Test Data
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization
状态：预览Pontificia Universidad Católica de Chile
您将获得的技能: Thermal Management, Plot (Graphics), Engineering Analysis, HVAC, Simulations, Engineering Calculations, Visualization (Computer Graphics), Python Programming, NumPy
状态：预览Google Cloud
您将获得的技能: Image Analysis, Generative AI, Model Evaluation, Convolutional Neural Networks, Generative Model Architectures, Deep Learning
您将获得的技能: Internet Of Things, General Networking, Wireless Networks, Cybersecurity, Systems Integration, Interoperability, Emerging Technologies, Software Development Life Cycle, Safety and Security, Systems Development Life Cycle, Systems Design, Automation
状态：新状态：免费试用您将获得的技能: Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Continuous Deployment, Continuous Monitoring, System Monitoring, Emerging Technologies, Process Optimization, Model Evaluation, Automation, Job Evaluation
状态：预览Google Cloud
您将获得的技能: Generative AI, Model Deployment, Google Cloud Platform, Data Ethics, Applied Machine Learning, Responsible AI
状态：新状态：免费试用您将获得的技能: Javascript, Frontend Performance, Scripting, Real Time Data, Browser Compatibility, Data Storage, HTML and CSS, Maintainability, Data Validation, Debugging
状态：新状态：免费试用您将获得的技能: Content Management Systems, Authentications, Role-Based Access Control (RBAC), Application Deployment, Authorization (Computing), Cloud Deployment, Web Components, Content Management, Restful API, Continuous Deployment, TypeScript, Application Programming Interface (API), Web Analytics and SEO, Query Languages, Web Applications, Business Logic, Web Development Tools, Package and Software Management, Node.JS, Software Architecture
总之，以下是 10 最受欢迎的 deep learning 课程
- Unreal Engine 5 - Sci-Fi Environment Design: Packt
- Developing RAG Apps with LlamaIndex and JS: Packt
- Unreal Engine: Design Game HUD, Menus & States: EDUCBA
- Advanced Rust – Lifetimes, Iterators, Testing & Randomness: Packt
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- Análisis de sistemas térmicos usando Python: Pontificia Universidad Católica de Chile
- Create Image Captioning Models - 简体中文: Google Cloud
- CertNexus Certified IoT Practitioner (ITP-110): Packt
- GenAI Model Development and Production Engineering: Starweaver
- Introduction to Image Generation - בעברית: Google Cloud
