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Results for "computer vision for educational activities"
University of Pennsylvania
Skills you'll gain: Data Ethics, ChatGPT, Generative AI, OpenAI, Artificial Intelligence, Prototyping, Scenario Testing
MathWorks
Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Visualization (Computer Graphics), Data Cleansing, Performance Tuning
Columbia University
Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Artificial Neural Networks, Virtual Reality, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Data Capture, Mathematical Modeling, Machine Learning Algorithms, Estimation, Data Cleansing, Systems Of Measurement, Computational Thinking, Data Processing
- Status: Free
Edge Impulse
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming
- Status: Free
Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Cloud Computing, Augmented Reality, Application Development, Computer Science, Machine Learning, Data Processing
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Python Programming, Deep Learning, Real Time Data, Google Cloud Platform, Applied Machine Learning, Development Environment, Data Collection, Software Installation, System Configuration, Machine Learning
Microsoft
Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Applied Machine Learning, Data Processing, Unstructured Data, Natural Language Processing, Deep Learning, Application Programming Interface (API)
Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Image Analysis, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Data Manipulation, Artificial Neural Networks
University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Computer Science, Data Ethics, Applied Machine Learning, Artificial Intelligence, Data Processing, Linear Algebra
MathWorks
Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Machine Learning, Data Manipulation
In summary, here are 10 of our most popular computer vision for educational activities courses
- AI in Education: Leveraging ChatGPT for Teaching: University of Pennsylvania
- Machine Learning for Computer Vision: MathWorks
- First Principles of Computer Vision: Columbia University
- Computer Vision with Embedded Machine Learning: Edge Impulse
- Build a computer vision app with Azure Cognitive Services: Microsoft
- Introduction to Computer Vision and Image Processing: IBM
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Computer Vision in Microsoft Azure: Microsoft
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt