learning machine is a tool based on Web Making it possible to quickly build machine learning models that teachers and students have used to explain a variety of topics in a more interactive alternative. In addition, it is compatible Google Drive.

This website is for anyone who has an idea they want to explore, such as artists, students, innovators, or creators of all kinds. Also, no prior knowledge of machine learning is required. Here you can create unique commands that use artificial intelligence to identify any sound, movement or person.

On this website, you collect and group the examples you want the computer to learn into classes or categories, where you can train the model and test it on the fly to see if it can correctly classify new examples. Likewise, these projects can be exported for sites, apps, and more. The template can be downloaded or hosted online.

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learning machine

Teachable Machine uses files or takes live examples. In addition, according to the entity, “it is a tool that respects the way of work and can be used on the device without any data from the webcam or microphone leaving the website”

Models that are designed with a platform TensorFlow.js that works anywhere javascript. Therefore, they are compatible with tools such as fault, P5.js, Node.js and many others.

Also, you can export models in various formats for use on other platforms.

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Suspension postures

Pose recognition means that you can estimate a person’s posture from an image, such as where the arms, legs, head, and joints are. To start training a car, you must first create different categories, or classes, to teach it.

Here you can make different classes like “No Tilt”, “Left Tilt” and another called “Right Tilt”. Later, several sample poses can be added to each of these classes.

Also, if you need to record samples without holding down a button, you can go to the settings panel and turn off Hold to Record, and it will count and then automatically record a set of samples.

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Then you can click on the train and after the model is finished you can see the result of the performed poses.

Audio projector

A machine learning model is also created to detect clicks, claps and whispers using audio clips. To use it, you must first create different categories, or classes.

The platform offers two boxes:background noise“and”Class 2“. These are the initial classes that the Teachable Machine handles when running any project. This will allow you to create voice commands with people who cannot speak to determine what they are asking for at the moment.

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To use it, you’ll need a background noise class to determine when no noise is generated. And since the background noise in the woods is different than in the office (or anywhere else), you need to provide audio samples of this class wherever you intend to use your model.

This particular machine learning technology learns from samples that are one second long. Classes require a minimum of 8 1-second sound samples to properly train. The more data classes are given to study, the better they will rank.