Home AI Courses Deep Learning for Computer Vision Specialization

Deep Learning for Computer Vision Specialization

(0 reviews)

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

Key AI Functions:Anomaly Detection,Artificial Intelligence (AI),Computer Vision,Object Detection,Deep Learning,classification

Description

Reviews

Alternative Tools

Description for Deep Learning for Computer Vision Specialization

Utilize the complete deep learning workflow to complete real-world projects, such as the detection of parking signs.

Retrain prevalent classification and detection models, including ResNet and YOLO.

Specialized models, which are referred to as anomaly detectors, are trained and calibrated.

Time and money can be saved by generating synthetic training images and utilizing AI-assisted auto-labeling.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by MathWorks

Duration: 1 month at 10 hours a week

Schedule: Flexible

Reviews for Deep Learning for Computer Vision Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Executive Data Science Specialization

Interpretable Machine Learning Applications

Excel to MySQL: Analytic Techniques for Business Specialization

Linear Regression with NumPy and Python

Alternative Tools for Deep Learning for Computer Vision Specialization

Legaliser is an AI-powered platform facilitating contract analysis and drafting for personal and business needs, featuring contract evaluation, fairness assessment, risk analysis, and anomaly identification.

#legal #contract analysis

Expense Sorted

Freemium

Expense Sorted employs AI to automate expense categorization, integrates securely with Google Sheets, offers a streamlined user interface, customizable categories, and manual adjustment options, making it a valuable tool for efficient budget management.

#finance #life assistant

Gen AI Assisting Data Scientists

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.

#Artificial Intelligence (AI) #Data Science

Gen AI Assisting Data Analysts

Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.

#Artificial Intelligence (AI) #Data Analysis

AI Engineering

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

#Vector databases #RAG

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

Gen AI Empowering Executives & Business Leaders

Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.

#Artificial Intelligence (AI) #AI Use Cases

IBM Gen AI: Cybersecurity Professionals

Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.

#Artificial Intelligence (AI) #Threat (Computer)

Featured Tools

Executive Data Science Specialization

Become the leader your data team requires. In four courses, acquire the skills necessary to lead a data science team that produces high-quality analyses.

#Data Science #Data Analysis

Interpretable Machine Learning Applications

A brief synopsis of this course is that it covers the development of interpretable machine learning applications utilizing random forest and decision tree models, emphasizing feature importance analysis for responsible machine learning implementation.

#python basic knowledge #features engineering