@am/neuralnetwork@1.0.0
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A simple neural network library for JavaScript and TypeScript.

Published

4 weeks ago (1.0.0)

class Tensor

This module provides a basic Tensor class for numerical operations, primarily supporting 2D tensors (matrices).

Constructors

new



Tensor(data: number[][])

Creates a new Tensor instance. Currently supports 2D tensors (matrices).

private



data: number[][]

private



shape: number[]



add(other: Tensor): Tensor

Performs element-wise addition with another tensor. The shapes of the two tensors must be identical.



getData(): number[][]

Gets the data of the tensor.



getShape(): number[]

Gets the shape of the tensor.



multiply(other: Tensor): Tensor

Performs matrix multiplication with another tensor. The number of columns in the first tensor must match the number of rows in the second tensor.



reshape(newShape: number[]): Tensor

Reshapes the tensor to a new shape. The total number of elements must remain the same. Currently only supports reshaping to another 2D shape.

Add Package

deno add jsr:@am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";

Import directly with a jsr specifier

import { Tensor } from "jsr:@am/neuralnetwork";

Add Package

pnpm i jsr:@am/neuralnetwork

or (using pnpm 10.8 or older)

pnpm dlx jsr add @am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";

Add Package

yarn add jsr:@am/neuralnetwork

or (using Yarn 4.8 or older)

yarn dlx jsr add @am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";

Add Package

vlt install jsr:@am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";

Add Package

npx jsr add @am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";

Add Package

bunx jsr add @am/neuralnetwork

Import symbol

import { Tensor } from "@am/neuralnetwork";