Create a Deep Learning Library in JavaScript from Scratch (Part 1)

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In this articles series, we’ll aim to build a deep learning library in the mold of TensorFlow and PyTorch, focusing on implementing the same core components. Here’s a preview of some of the concepts and tasks we’ll cover:

The major aim of this project is to drive us away from the comfort zone of using Python, which will help us understand the core principles behind popular deep learning libraries. Doing this in JavaScript can also aid us in implementing the same thing in other programming languages.

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Capsule Networks: A new and attractive AI architecture

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Convolutional Neural Networks (CNN) are frequently preferred in computer vision applications because of their successful results on object recognition and classification tasks. CNNs are composed of many neurons stacked together. Computing convolutions across neurons require a lot of computation, so pooling processes are often used to reduce the size of network layers.

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What is Image Recognition? An Introduction

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In today’s digitally transforming world, human beings are encountering more advanced technology on a daily basis. Image recognition software and solutions are becoming a common part of our landscape. The chances are you’ve already interacted with this technology, even if you didn’t realize it.

From the facial recognition software that unlocks smartphones, to mobile check depositing systems on banking apps, image recognition is everywhere.

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Generating docs for your Swift Package and hosting on GitHub Pages

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Swift Packages are one of the most exciting applications of the Swift programming language. Packages allow for development beyond your usual app — it even works on Linux!

It’s well-known that projects without documentation don’t get the attention they deserve. And rightfully so, because it’s very hard for new “users” (developers who consume your package) to get started with your project if documentation is lacking. However, writing and maintaining documentation is often seen as a boring task. Besides, your documentation will quickly be outdated if you don’t update it.

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Getting Started with Object Detection Using TensorFlow.js

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In deep learning, one of the most widely-used technologies is TensorFlow, an end-to-end open-source platform for building models. It has a vast, flexible ecosystem of tools, libraries, and community resources. With the power of TensorFlow, researchers and developers can develop and deploy ML-powered applications.

In this tutorial, we’re going to work with TensorFlow.js, TensorFlow’s JavaScript library. We’ll use this library to learn to perform object detection—and specifically, detect instances of people—using our device’s webcam. The idea is fairly simple. We launch the camera in observation mode. Then, when it detects a human, it starts to record the movement of the person until the person is no longer in the view of the camera.

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