Ho to Build AI Machine Learning Recognition Application

Ho to Build AI & Machine Learning Recognition Application, available at $19.99, has an average rating of 1, with 11 lectures, based on 1 reviews, and has 49 subscribers.

You will learn about In the end of my course you will learn how to use machine learning in text dection with go. You will use azure cognetive services for Computer Vision You will use azure cognetive services for Face You will use google Detect Text (OCR) This course is ideal for individuals who are It can be helpful from high school level It is particularly useful for It can be helpful from high school level.

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Summary

Title: Ho to Build AI & Machine Learning Recognition Application

Price: $19.99

Average Rating: 1

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

In the end of my course you will learn how to use machine learning in text dection with go.

You will use azure cognetive services for Computer Vision

You will use azure cognetive services for Face

You will use google Detect Text (OCR)

Who Should Attend

It can be helpful from high school level

Target Audiences

It can be helpful from high school level

The Vision API can detect and extract text from images. There are two annotation features that support optical character recognition:

TEXT_DETECTION detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign. The JSON includes the entire extracted string, as well as individual words, and their bounding boxes.

DOCUMENT_TEXT_DETECTION also extracts text from an image, but the response is optimized for dense text and documents. The JSON includes page, block, paragraph, word, and break information.

Computer Vision

Extract rich information from images to categorize and process visual data—and perform machine-assisted moderation of images to help curate your services.

Analyze an image

This feature returns information about visual content found in an image. Use tagging, domain-specific models, and descriptions in four languages to identify content and label it with confidence. Use Object Detection to get location of thousands of objects within an image. Apply the adult/racy settings to help you detect potential adult content. Identify image types and color schemes in pictures.

Recognize celebrities and landmarks

Recognize more than 200,000 celebrities from business, politics, sports and entertainment, as well as 9,000 natural and manmade landmarks from around the world.

Face

Detect and compare human faces

Organize images into groups based on similarities

Identify previously tagged people in images

Run locally on-premises or in the cloud

Face verification

Check the likelihood that two faces belong to the same person. The API will return a confidence score about how likely it is that the two faces belong to one person.

Face detection

Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features. The face attribute features available are: Age, Emotion, Gender, Pose, Smile, and Facial Hair along with 27 landmarks for each face in the image.

Emotion recognition

The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.

Course Curriculum

Chapter 1: Getting Started AI & Machine Learning Optical character recognition in GO

Lecture 1: Introduction. How to create a bot

Lecture 2: How to create a reply bot

Lecture 3: How scrape a foto

Lecture 4: How analyze foto

Lecture 5: Foto vision

Lecture 6: Doc vision

Lecture 7: Face detection

Lecture 8: Google OCR

Lecture 9: Google cloud

Lecture 10: Google OCR bot

Lecture 11: Google text detection

Instructors

YEVHEN MAKSYMENKO
Software Engineer

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!