Arraysync alternative how to#
How to build a simplified HTML/CSS /JS webpage that replicates the Teachable Machine user experience.What TensorFlow.js is and why you should use it in your next web app.
Arraysync alternative free#
If you are new to Tensorflow.js, consider taking this free zero to hero course first, which assumes no background with Machine Learning or TensorFlow.js, and teaches you everything you need to know in smaller steps. Basic familiarity with TensorFlow.js, HTML5, CSS, and JavaScript is assumed for this lab.This codelab is written for web developers who are somewhat familiar with TensorFlow.js pre-made models and basic API usage, and who want to get started with transfer learning inTensorFlow.js. As with the original Teachable Machine website, however, there is plenty of scope to apply your existing web developer experience to improve the UX. The website is purposely kept minimal so that you can focus on the Machine Learning aspects of this codelab. The website lets you create a functional web app that any user can use to recognize a custom object with just a few example images from their webcam. This codelab shows you how to build a web app from a blank canvas, recreating Google's popular " Teachable Machine" website. For this reason, transfer learning is very well suited for the web browser environment where resources may vary based on the device of execution, but also has direct access to the sensors for easy data acquisition. Also, training is often significantly faster due to only having to retrain the final few layers of the model architecture instead of the whole network. You can reuse knowledge already learned from a prior trained model, and you require fewer examples of the new item you wish to classify. Transfer learning has many advantages over starting from a completely blank model. The act of taking an existing model (often referred to as a base model), and using it on a similar but different domain is known as transfer learning. TensorFlow.js model usage has grown exponentially over the past few years and many JavaScript developers are now looking to take existing state-of-the-art models and retrain them to work with custom data that is unique to their industry.
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