Detection of Gender and Age

Detection of Gender and Age

  • 5.0 (1 Reviews) , 1 students enrolled

Course Overview

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.

Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader.

This provides "industry experience" that you might otherwise get only after years of ML work experience.

What are the requirements?

  • Students entering the class are expected to have a pre-existing working knowledge of probability, linear algebra, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.
  • In addition, recitation sessions will be held to review some basic concepts.

What am I going to get from this course?

  • We will use Deep Learning to accurately identify the gender and age of a person from a single image of a face.
  • We will use the models trained by Tal Hassner and Gil Levi. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0 – 2), (4 – 6), (8 – 12), (15 – 20), (25 – 32), (38 – 43), (48 – 53), (60 – 100) (8 nodes in the final soft-max layer).
  • It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions.
  • And so, we make this a classification problem instead of making it one of regression.

What is the target audience?

  • Anyone who is interested in learning Machine Learning.
  • Anyone who wishes to add value to their business using Machine Learning tools.

About the Author

We at SkillRary strive to provide simple yet powerful training or tuition on all domains. This organization has started with a mindset to share the knowledge that the internet or an individual has in a progressive manner. SkillRary is an online training programme, trying to get the best content for all on a very low cost and thereby helping everyone with a digital schooling and online education.  

SkillRary provides computer based training (CBT), distance learning or e-learning, that takes place completely on the internet. The courses involve a variety of multimedia elements, including graphics, audio, video, and web-links which can be accessed to the enrolled clients.

In addition to presenting course materials and content, SkillRary gives the students the opportunity for live interactions and real-time feedback in the form of quizzes and tests. Interactions between the instructor and students are also conducted via chat, e-mail or other web-based communication. Unlike any other, we here also let the students know which module has to be gone through first. All the modules are placed according to the lesson plans so that students will know what to refer first.

SkillRary is self-paced and customizable to suit an individual's specific learning needs. Therefore it can be conducted at any time and place, provided there is a computer or smartphone with high-speed internet access. This makes it very convenient to the users who can modify their training to fit into their day-to-day schedule. All our users will be able to use our eLearning system to its full capacity.

Course Curriculum

Recorded Course
9 Video Lectures | 02:56:37

  • Gender and Age Detection
    12:27
     
  • Software Requirements
    14:18
     
  • Anaconda Software
    04:18
     
  • Numpy Package
    33:25
     
  • Pandas Package
    48:45
     
  • Matplotlib Package
    21:37
     
  • SciKit Learn Package
    26:26
     
  • Hand Written Digits
    08:51
     
  • Hands On
    06:30
     

reviews

  • Tarangini QS
    The instructor explained well with in-line practices. I really love how this course covers such a wide range of topics. I really appreciate how the instructor explained the theory while demonstrating hands-on execution.
    2 months ago