NEURONS.ME

---

The Main Steps for Building a Neural Network are:

1. Define de model structure (such as number of input features).
2. Initialize the model´s parameters.
3. Loop:
   • Calculate current loss (foward propagation).
   • Calculate current gradient (backward propagation).
   • Update parameters (gradient descent).

---

Welcome to neurons.me, a modular framework designed for the creation and management of neural networks. Offering developers the ability to define and orchestrate artificial neurons, neural networks, and layers with extensive customization options in JS.

Installation

Integrate neurons.me into your project with ease:

npm i neurons.me

Integrating With All.This

neurons.me is built to work in tandem with all.this, leveraging its data structuring benefits to provide a foundation for neural network training and inference. Modularity and Independence: By integrating neurons.me with these modules, developers can harness a unified approach to data processing, neural network construction, and machine learning. Please refer to https://neurons.me to learn more about the whole ecosystem.

---

Looking Forward

As we continue to develop neurons.me, our goal is to establish a transparent, adaptive, and impactful framework that not only stands on its own in the realm of neural network development but also complements and extends the functionalities within the all.this library. Stay connected for future updates and enhancements.

Engage with us, contribute, or raise issues as we collectively shape neurons.me to be an integral part of the neural network and data processing communities within the all.this ecosystem.

---

About All.This

Modular Data Structures:

this.me - this.audio - this.text - this.wallet - this.img - this.pixel - be.this - this.DOM - this.env - this.GUI - this.be - this.video - this.atom - this.dictionaries

Each module in all.this represents a specific datastructure. These classes encapsulate the functionalities and data specific to their domain.

Utils

all.this not only aggregates these modules but also provides utilities to facilitate the integration, management, and enhancement of these data structures. For example:

The integration with cleaker ensures each module instance has a unique cryptographic identity, enhancing security and data integrity.

Neurons.me Ecosystem Glossary:

visit: Neurons.me Glossary

License & Policies

• License: MIT License (see LICENSE for details).

• Privacy Policy: Respects user privacy; no collection/storage of personal data.

• Terms of Usage: Use responsibly. No guarantees/warranties provided. Terms | Privacy Learn more at https://neurons.me Author: SuiGn By neurons.me

  

Happy Coding!