brain.js | 🤖 GPU accelerated Neural networks in JavaScript | Machine Learning library

I just started learning brain js and developed a model which gives you category based on the input text.

I want to ask that each time running the model depends on iterations greater the number of iterations the more it will take time but it improves the accuracy of the model.

Is there any way I can pre-trained my model so it won't let user to wait for the output.

An example will really help me.

I've made a brain.js LSTM network, predicting addition. Then I saved it to a .json file using net.toJSON() However, it doesn't seem to work. The traindata.json was successfully created, no errors. However, I get an error:

I'm trying to push some values in an array for something called "Brain.js". When storing a variable in the array and later changing it, all the variables that were stored in the array change. Can someone help me make it so they don't change? I'm having much trouble with this.

Here's an example:

I am trying to implement a global mixin in nuxt

this code:

Hello i'm following a browser brain.js script's example and this is the example code:

Trying to load a network from JSON results in an the following error

Error: Sizes must be set before initializing.

My js code:

I'm following a tutorial on how to work with neural networks with brain.js when I try to run the code it gives me a ReferenceError: brain is not defined i already installed via npm and have the CDN on the HTML.

I must be missing a basic setup thing, but I cannot get the examples on brainJS working.

The examples mention importing a module and then creating a neural net:

I want to import data from a data.json file into the neural network (which uses the Brain.js framework).Here is the part which is supposed to bring that data to the network and analyse it: