自主机器人课程
自主机器人课程可以帮助您学习机器人控制编程、传感器集成和导航算法。您可以掌握机器学习应用、计算机视觉技术和实时数据处理方面的技能。许多课程都会介绍 ROS（机器人操作系统）、MATLAB 和 Python 等工具，这些工具支持开发和测试机器人系统。您还将探索路径规划、定位和机器人感知等关键主题，掌握设计和实施自主解决方案的实用知识。
热门自主机器人课程和认证
状态：预览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, Network Architecture, Data Preprocessing, Model Evaluation
状态：免费试用Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
Google Cloud
您将获得的技能: 计算机视觉, 模型评估, 张力流, 卷积神经网络, 科学可视化, 云计算, 深度学习, 数据收集, 图像分析, 人工神经网络, Google 云端平台
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms
状态：免费试用您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
状态：新状态：预览Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
状态：新状态：免费试用您将获得的技能: Video Editing, Adobe Premiere, Post-Production, Video Production, Cinematography, Editing, Color Theory, Storytelling
状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
状态：新状态：免费试用AI Business School
您将获得的技能: Agentic Workflows, Agentic systems, AI Workflows, No-Code Development, Productivity, AI Enablement, Marketing Automation, Generative AI Agents, MarTech, AI Personalization, Digital Transformation, Marketing, Artificial Intelligence, Business Metrics, Automation, Business Technologies, Innovation
状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms
您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
与 autonomous robotics 相关的搜索
总之，以下是 10 最受欢迎的 autonomous robotics 课程
- Réseaux neuronaux convolutifs: DeepLearning.AI
- Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
- 用 TensorFlow 卷积神经网络对图像进行分类: Google Cloud
- Améliorez les réseaux neuronaux profonds: DeepLearning.AI
- Advanced Machine Learning and Deep Learning: Packt
- Statistical Learning for Engineering Part 1: Northeastern University
- The Art of Film Editing: Color & Visual Storytelling: Skillshare
- Attention Mechanisms and Transformer Models Course: Simplilearn
- AI agents and creator tools for marketing professionals: AI Business School
- Deep Learning - Artificial Neural Networks with TensorFlow: Packt
