Strengthen Your Analytics With Age & Gender Detection

But, what exactly is Deep Learning? Deep Learning is the study of machine learning that focuses on building algorithms that are able to identify and process patterns. It is based on algorithms that learn how to learn new tasks through a trial-and-error process. It is a type of Artificial Intelligence (AI) that can be applied in different industries. Another definition of Deep Learning is “a set of algorithms and models that allow computers to learn from data.” The main aspect of Deep Learning is the design of algorithms that can model certain hypotheses through a set of variables, which interact within each other. 
At the beginning, the algorithm only knows how to predict the output independently of any other information. As it learns through several examples and datasets, the model is able to associate a certain input with its output. For example, if we wanted to build an algorithm for age and gender detection in images using neural networks. Firstly, we first need to train the model with a certain set of data. Using this information, we have to give the model the direction that enables it to learn on its own how to predict if an image has a male or female figure (where we have guessed that the age might be between 19 and 25). That’s where we use our AI: Deep Learning!   
Detect the estimated person’s age in a given image. Also, detect its gender. Ideal to sort and verify images.

To make use of it, you must first:
1- Go to Age and Gender Detector API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.

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