Cours en Computer Vision
Les cours en computer vision peuvent vous aider à comprendre comment les systèmes analysent et interprètent des images. Vous pouvez développer des compétences en détection d'objets, traitement d'images, modèles d'apprentissage et évaluation des résultats. Beaucoup de cours utilisent des outils simples pour tester des modèles visuels.
Cours et certificats populaires en Computer Vision
Statut : NouveauStatut : Essai gratuitCompétences que vous acquerrez: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API
Statut : NouveauCompétences que vous acquerrez: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing
Google Cloud
Compétences que vous acquerrez: Google Gemini, Image Analysis, LLM Application, Multimodal Prompts, Large Language Modeling, Text Mining, Google Cloud Platform, Computer Vision, Document Management
Statut : PrévisualisationGoogle Cloud
Compétences que vous acquerrez: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision
Statut : NouveauStatut : Essai gratuitCompétences que vous acquerrez: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision
Statut : NouveauStatut : Essai gratuitCompétences que vous acquerrez: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
Statut : NouveauCompétences que vous acquerrez: Prompt Engineering, OpenAI, Responsible AI, LLM Application, Data Ethics, Image Analysis, Application Programming Interface (API), Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Modeling, Computer Vision, Application Deployment, Development Environment
Statut : Essai gratuitLearnKartS
Compétences que vous acquerrez: Prompt Engineering, Amazon Bedrock, Generative AI, LLM Application, Amazon S3, Application Deployment, Computer Vision
Statut : PrévisualisationCompétences que vous acquerrez: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning
Statut : NouveauStatut : Essai gratuitCompétences que vous acquerrez: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
Compétences que vous acquerrez: Large Language Modeling, Image Analysis, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Natural Language Processing, Document Management, Integrated Development Environments, Data Integration, Application Deployment
Statut : Essai gratuitJohns Hopkins University
Compétences que vous acquerrez: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
En résumé, voici 10 de nos cours les plus populaires sur computer vision .
- Introduction to Transformer Models for NLP: Unit 3: Pearson
- Building AI-Powered Application with .NET: Packt
- Multimodal Use Cases with Gemini 1.5: Google Cloud
- Create Image Captioning Models - Español: Google Cloud
- Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
- Learning Deep Learning: Unit 2: Pearson
- Build Apps and Fine-Tune LLMs Using the OpenAI API: Packt
- AWS Tools and Services for AI: LearnKartS
- H2O Hydrogen Torch Starter Course: H2O.ai
- Learning Deep Learning: Unit 3: Pearson
