Teachable Machine || Machine Learning Model with Teachable Machine

With the advent of the 21st century, machine learning and artificial intelligence have been indispensable elements in our day-to-day experiences. From virtual helpers to recommendation engines, they’re everywhere. However machine learning is still shrouded in mystery for most people, something for experts or coders. However, what if I said that you can get started in the exciting realm of machine learning with just few simple steps?? With Teachable Machine, an incredible platform created by Google’s Creative Lab that enables anyone to make creating machine learning models easy.

Table of content:


Introduction

Teachable Machine is a tool built by Google’s Creative Lab that teaches non-programmers how to create machine learning models without requiring a deep understanding of programming and machine learning concepts. It was designed for making machine learning easier and friendlier.

How Teachable Machine typically works:

Input Data: Users give the system data in different modalities (image, sound, pose). Such as taking snapshots of numerous creature species, recordings of assorted sounds, and capturing diverse positions through your gadget’s camera.

Training: The application utilizes a methodology named “transfer learning” to utilize pre-prepared deep learning models and then fine-tune them for the specific task of identifying fraudulent activities. Then he refines these models with your dataset. This training enables the model to discern features from what it is exposed and how you have created these features (in this case, the input columns).

Testing: After training, you can evaluate it in order to determine its ability to identify the specified patterns/features. It provides live feedback — you can improve the model by adding more data and tweaking parameters.

Export: When satisfied with performance of your model, you can export model for embedding into your own app, web site, etc. The library supplies code snippets for different languages making integration smooth. 

The Teachable Machine is commonly applied to trivial ML tasks like image recognition (classifying distinct items within an image), sonification (identifying diverse classes of noise), or pose estimation (tracking particular postures within an image). It’s a great tool for educating individuals about the essentials of machine learning and neural networks in an interactive method that has made learning easier for amateurs to begin, students, and hobbyists as well.

How to use:

Step No:1

Go to Teachable Machine (https://teachablemachine.withgoogle.com/), and click on get started.
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You will see three options. Image Project, Sound Project, and Pose Project.

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Step No: 2

Choose the project that you want to work on, in this tutorial we will be working on Image project. After choosing the project, you will two options: “Standard” and “Embedded”. Select the “Standard Image Model” because embedded is for micro-controllers. The process for Embedded is the same, only the model in different.

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Then the screen will appear that you see below, and from here, you can create the class. There are two options: you can upload the images or capture the images by using webcam.

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Step No:3

Name the classes, and upload the images. 

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After Uploading the pictures, you need to train the model. But before that, you will “Advance” option, if you click on advance you will see few options such as Epochs, Batch size, and Learning rate. Don’t be worried for now, leave them for default setting and click on “Train Model”.

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Step No: 4

After the model is trained, you can test your model. Upload a picture.

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The answer from the model is 100% correct.

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Step No: 5

Now you can export your model. When you click “Export Model” once again, you’ll get presented the below options. As well as the source code snippets available online for incorporating and running this model within your application . Just to mention, TensorFlow.js models can work with almost any JavaScript lib/framework although some framworks could support only some types of models. So make sure to check compatibility with your chosen framework/library.

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This process of exporting could take up to some minutes.

Congratulation: you just build your very own Machine learning model without writing code!

Just as with the case of image, audio and  pose can be created as well.

Conclusion 

Teachable Machine is truly impressive, it opens up the world of machine learning to be easy-to-use and fun to learn. Enables users to create their own machine learning models, stimulate imagination, encourage innovation and promote a thorough understanding about the AI concepts. So, why wait? Get started in the world of AI with Teachable Machine for an experience without limits.