Bite-sized tips and screencasts about Javascript, CSS, and React

šŸ“– Neural networks for Javascript developers

The Neural Networks for JavaScript developers book is almost ready! Learn the basics of AI with TensorFlowJs examples. Join now the presale and get a 15$ coupon off the launching price!


TensorflowJs functional model – using the tf.model() function

TensorflowJs sequential model – using the tf.sequential() function

The download attribute of the link tags in HTML

The double tilde ~~ operator in Javascript

Using URL.createObjectURL() to create uploaded image previews in Javascript

TensorflowJs machine learning with Javascript – images object detection example

React count the number of renders for an individual component

React performance tip – use ReactDOM.createRoot() instead of ReactDOM.render()

The useId() hook in React

[Js-Craft #37] Build your first Javascript neuronal network and an introduction to TensforflowJs

Why do we start from random weights in TensorflowJs?

Weights and the weighted sum

Coding your first Javascript neuronal network from scratch

A brief explanation of what is a perceptron in Javascript

The Mean Squared Error function in TensorflowJs

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Neural Networks for JavaScript developers
Presale - 15$ free coupon

Hi friend! Before you go, just wanted to let you know that in March 2023 I will be launching the TensorFlow.Js by Example course.

This course will include basic concepts of AI and Neural Networks done with TensorFlowJs such as:

  • Working with datasets
  • Visualizing training
  • Deep Neural Networks in JavaScript
  • Reinforcement Learning
  • Convolutional neural networks
  • and much more ...

Also, there will be a lot of examples as:

  • Object detection
  • Natural language processing
  • Face and voice recognition
  • Gaming AI

Join now the waiting list and get a 15$ coupon off the launching price!