机器人课程
机器人课程可以帮助您学习机器人控制编程、传感器集成和机械设计原理。您可以掌握自动化、系统故障排除和算法开发等技能，以完成导航和物体识别等任务。许多课程都会介绍一些工具，如 ROS（机器人操作系统）、用于设计的 CAD 软件以及可让您在虚拟环境中测试机器人系统的仿真平台。
热门机器人课程和认证
状态：预览DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Embeddings
状态：预览University of Colorado Boulder
您将获得的技能: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
- 状态：预览
Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Large Language Modeling, Natural Language Processing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
- 状态：预览
Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Performance Tuning, Natural Language Processing, Artificial Neural Networks
状态：新状态：预览Simplilearn
您将获得的技能: Reinforcement Learning, Model Evaluation
状态：新状态：免费试用您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
状态：免费试用您将获得的技能: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
总之，以下是 10 最受欢迎的 robotics 课程
- Modèles de séquence: DeepLearning.AI
- Attention Mechanism - Français: Google Cloud
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
- Attention Mechanism - Italiano: Google Cloud
- Natural Language Processing - Deep Learning Models in Python: Packt
- Attention Mechanism - Bahasa Indonesia: Google Cloud
- Q Learning in Reinforcement Training Basics: Simplilearn
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- Attention Mechanism - 繁體中文: Google Cloud
