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：免费试用Edureka
您将获得的技能: 拥抱的脸, 负责任的人工智能, 内容创作
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: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
状态：预览Board Infinity
您将获得的技能: Marketing Analytics, Responsible AI, Persona Development, A/B Testing
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
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：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：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：预览Google Cloud
您将获得的技能: Image Analysis, Model Evaluation, Generative AI, Convolutional Neural Networks, Deep Learning, Embeddings, Vision Transformer (ViT)
与 vision 相关的搜索
总之，以下是 10 最受欢迎的 vision 课程
- 生成式 AI 应用和流行工具: Edureka
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Generative AI in Marketing: Board Infinity
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- 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
- Transformer Models and BERT Model - Bahasa Indonesia: Google Cloud
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
