Computer Vision with Embedded Machine Learning
Learn to train and develop image classification and object detection systems using machine learning, and deploy these models to microcontrollers.
Description for Computer Vision with Embedded Machine Learning
- To train and develop an image classification system using machine learning, follow these steps:
- How to train and develop an object detection system using machine learning
- Methods for deploying a machine learning model to a microcontroller
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Edge Impulse
Duration: 3 weeks at 10 hours a week
Schedule: Flexible
Pricing for Computer Vision with Embedded Machine Learning
Use Cases for Computer Vision with Embedded Machine Learning
FAQs for Computer Vision with Embedded Machine Learning
Reviews for Computer Vision with Embedded Machine Learning
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Computer Vision with Embedded Machine Learning
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Featured Tools
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
Gain a foundational understanding of generative AI, including its functions, key concepts like large language models, datasets, and prompts, and the components used to build and operate AI solutions.
Learn fundamental machine learning principles, including K nearest neighbor, linear regression, and model analysis, with prerequisites of Python programming and basic mathematics.
Learn to leverage Google Cloud's data-to-AI tools, generative AI capabilities, and Vertex AI for comprehensive ML model development.