Computer Vision Kurse
Computer-Vision-Kurse können Ihnen helfen zu lernen, wie visuelle Daten verarbeitet, erkannt und interpretiert werden. Sie können Fähigkeiten in Bildanalyse, Objekterkennung, Modelltraining und Evaluationsmethoden aufbauen. Viele Kurse stellen Python-Bibliotheken, Frameworks und Tools vor, die das Entwickeln und Testen visueller Modelle unterstützen.
Beliebte Computer Vision Kurse & Zertifikate
Status: NeuKompetenzen, die Sie erwerben: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
Google Cloud
Kompetenzen, die Sie erwerben: Image Analysis, Google Cloud Platform, Metadata Management, Analysis, Computer Vision, Cloud Storage
Status: VorschauDeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing
Status: NeuStatus: VorschauUniversity of the Arts London
Kompetenzen, die Sie erwerben: Generative AI, Data Ethics, Image Analysis, Art History, Artificial Intelligence, Computer Vision, Aesthetics, Creativity, Responsible AI, Prompt Engineering, Intellectual Property, Photography
Status: VorschauInstitut Mines-Télécom
Kompetenzen, die Sie erwerben: Image Analysis, Computer Vision, NumPy, Python Programming, Scientific Visualization, Mathematical Modeling, Applied Mathematics
Status: Kostenloser TestzeitraumLearnKartS
Kompetenzen, die Sie erwerben: Prompt Engineering, Amazon Bedrock, Generative AI, LLM Application, Amazon S3, Application Deployment, Computer Vision
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning
Status: Kostenloser TestzeitraumJohns Hopkins University
Kompetenzen, die Sie erwerben: 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
Status: VorschauUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling
Status: VorschauUniversity of Pennsylvania
Kompetenzen, die Sie erwerben: Control Systems, Robotic Process Automation, Automation, Artificial Intelligence, Programmable Logic Controllers, Matlab, Simulation and Simulation Software, Embedded Software, Engineering, Computer Vision, Mathematical Modeling, Mechanics, Algorithms, Estimation, Differential Equations, Linear Algebra
Zusammenfassend finden Sie hier 10 unsere beliebtesten computer vision Kurse
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- Video Intelligence: Qwik Start: Google Cloud
- TensorFlow を使った畳み込みニューラルネットワーク: DeepLearning.AI
- Creative AI: Images and Media : University of the Arts London
- Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
- AWS Tools and Services for AI: LearnKartS
- Deep Learning with Keras and Practical Applications: Packt
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
