Category: javascript-machine-learning

Using the TensorflowJs argMax() function

The one hot encoding function in TensorflowJs: tf.oneHot()

Reading the weights of a TensorflowJs model

What is the bias in a Javascript neuronal network?

Understanding the model.summary() method in TensorflowJs

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

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

TensorflowJs machine learning with Javascript – images object detection example

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

Activation functions in TensorlfowJs

Using the TensorflowJs BERT Question and Answer model with vanilla Javascript

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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!

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