视觉课程
视觉课程可以帮助您学习视觉感知基础、图像处理技术和光学系统原理。您可以掌握分析 Visualization 数据、理解 Color Theory 以及将视觉设计原理应用于各种项目的技能。许多课程介绍了用于图像编辑的 Adobe Photoshop、用于模拟的 MATLAB 和用于计算机视觉的 Python 库等工具，展示了这些技能如何应用于平面设计、摄影和人工智能等领域。
热门视觉课程和认证
状态：新状态：免费试用您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
状态：新状态：免费试用您将获得的技能: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing
状态：免费试用您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
状态：免费试用Johns Hopkins University
您将获得的技能: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging
状态：新您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, LangChain, Embeddings, Real Time Data, Vision Transformer (ViT), Data Quality
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Model Deployment, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Cloud Deployment, Vision Transformer (ViT), Model Evaluation, Reinforcement Learning, Image Analysis, Performance Tuning
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
状态：新状态：预览Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
状态：免费试用Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
状态：预览您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Vision Transformer (ViT), Generative Model Architectures
状态：免费试用您将获得的技能: Prompt Engineering, Multimodal Prompts, Generative AI, AI Workflows, AI Orchestration, Microsoft Azure, LLM Application, Artificial Intelligence, Computer Vision, Image Analysis, Applied Machine Learning, Systems Architecture
总之，以下是 10 最受欢迎的 vision 课程
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Programming Generative AI: Unit 2: Pearson
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
- Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
- Image Classification with Keras: Build & Optimize: EDUCBA
- Machine Learning with Small Data Part 2: Northeastern University
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
