模式识别课程
模式识别课程可以帮助您学习数据分析、Feature Extraction 和图像分析技术。您可以掌握统计建模、Machine Learning 算法和 Neural Network 设计方面的技能。许多课程会介绍 TensorFlow 和 Scikit-learn 等 Python 库等工具，这些工具用于在涉及 AI 和人工智能应用的项目中实现这些技术。
热门模式识别课程和认证
状态：免费试用您将获得的技能: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management
状态：免费试用您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
状态：预览University of Michigan
您将获得的技能: 计算机编程, 计算机科学, 算法, 编程原则, 计算思维, 灾难恢复, 公共卫生, 解决问题
状态：免费试用您将获得的技能: Design Elements And Principles, Design, Adobe Photoshop, Digital Design, Creativity
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms
您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
状态：免费试用您将获得的技能: Layout Design, Creative Design, Graphic and Visual Design Software
状态：免费试用University of Washington
您将获得的技能: 可扩展性, 分类算法, 模型评估, 算法, 概率与统计, 大数据, 自然语言处理, 机器学习算法, 逻辑回归, 决策树学习, 数据预处理, 预测建模, 机器学习, 应用机器学习, 文本挖掘, 监督学习
状态：免费试用您将获得的技能: Adobe Photoshop, Journals, Design Thinking, Creative Design, Creativity, Design Strategies, Design, Graphic and Visual Design, Design Elements And Principles
状态：新状态：免费试用您将获得的技能: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing
状态：新状态：免费试用您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
总之，以下是 10 最受欢迎的 pattern recognition 课程
- Data Science Foundations: IBM
- AI Applications: Computer Vision and Speech Recognition: Edureka
- 运用计算思维解决问题: University of Michigan
- Surface Pattern Design by Hand: Repeat Patterns on Paper: Skillshare
- Facial Expression Recognition with PyTorch : Coursera
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Surface Pattern Design: Key Principles for Amazing Patterns: Skillshare
- 机器学习分类: University of Washington
- Watch Me Design a Pattern Collection: Creative Struggles: Skillshare
