Neural Networks: The Brain-Inspired Tech Behind AI

Neural networks are a fascinating concept in the world of artificial intelligence (AI). They’re essentially computer programs inspired by the structure and function of the human brain, allowing machines to learn and process information in a way that’s more human-like than traditional programming.

Imagine this: You show a child pictures of cats and dogs. Over time, the child learns to distinguish between the two animals. A neural network does something similar but with much more data and much faster processing power.

So, how do these brain-inspired programs work?

  • Think of neurons: In the brain, neurons are cells that communicate with each other through electrical signals. In a neural network, these neurons are represented by mathematical functions called “nodes.”
  • Nodes are connected: Just like neurons have axons and dendrites, nodes in a neural network are connected by “weights.” These weights determine the strength of the signal passing between nodes.
  • Learning through layers: Neural networks are typically organized in layers. Information flows from the input layer (think of it as your eyes or ears) through hidden layers (where the processing happens) to the output layer (your voice or actions).
  • Adjusting the weights: As the network processes data, the weights between nodes are adjusted based on the results. This is like how the brain strengthens or weakens connections between neurons based on experience.

What can neural networks do?

  • Recognize patterns: They’re great at identifying patterns in data, like images, speech, or text. This makes them useful for tasks like image recognition, voice assistants, and machine translation.
  • Make predictions: Based on what they’ve learned, neural networks can make predictions about future events or data. This is used in weather forecasting, stock market analysis, and fraud detection.
  • Adapt and learn: Unlike traditional programs, neural networks can continuously learn and improve as they’re exposed to more data. This makes them incredibly versatile and powerful.

Neural networks are still under development, but they’re already revolutionizing many fields. From healthcare and finance to self-driving cars and virtual assistants, the possibilities are endless.

Here are some things to keep in mind about neural networks:

  • They can be complex: Building and training neural networks can be computationally expensive and require specialized expertise.
  • They need data: The more data a neural network is trained on, the better it will perform.
  • They can be biased: If the data used to train a network is biased, the network will reflect that bias.

Overall, neural networks are a powerful tool with the potential to change the world. As they continue to evolve, we can expect even more incredible applications in the years to come.

– Anant Nimbalkar.

Understanding Promises in JavaScript: A Comprehensive Guide

Promises give us the option to perform asynchronous computation easily and more simply. before Promises callbacks were used which leads to callback Hell, to overcome this Problem Promises were introduced. 

Example of promises

const timer = time => new Promise((resolve,reject)=> setTimeout(resolve(“promise is resolved.”),time));

timer(3000)

.then((val)=> console.log(“Timer executeds — “+val))

.catch((err)=> console.log(” promise is rejected — “+err))

.finally(()=>console.log(“Promise is closed”))

Promise consists of 3 state of execution –

  1. Before the result is ready, the Promise is pending.
  2. If a result is available, the Promise is fulfilled.
  3. If an error happens, the Promise is rejected.

Note: A Promise is settled if inside function logic is executed. (if it is either fulfilled or rejected). only once the promise is settled.

Inside the promise, there are two operations to change the state. After you have invoked either one of them once.

  1. resolve – promise has been executed properly.
  2. reject – promise has been rejected.

How to consume the promises –

    .then() block handle the resolved output by promises.

    .error() block catch the error if the rejected state is sent by promise.

    .finally() block execute every time of resolve or reject of promise.

    Note – promise chaining is the concept where we can handle the resolved output by promises. in multiple. then blocks.

            .then()

            .then()

            .then()

What if we have multiple promises –

    There are methods provided by promises to handle all at once.

  • Promise.all() –  it is static method takes an iterable of promises as input and returns a single Promise when all promises are fulfilled.

const promise1 = Promise.resolve(1);

const promise2 = Promise.resolve(2);

const promise3 = Promise.resolve(3);

Promise.all([promise1,promise2,promise3]).then((values)=>{

    console.log(“all promises values – “,values);

})

  • Promise.allSettled() – it is static method takes an iterable of promises as input and returns a single Promise when all promises are settled. ( either it may resolve or reject. )

const promise4 = Promise.resolve(4);

const promise5 = Promise.resolve(5);

const promise6 = Promise.reject(6);

Promise.allSettled([promise4,promise5,promise6]).then((values)=>{

    console.log(“all promises values – “,values);

})

  • Promise.any() = static method takes an iterable of promises as input and returns a single Promise.

    This returned promise is fulfilled when any of the input’s promises are fulfilled, with this first fulfillment value.

   note – if any one of the rejected promises comes then also it will give output.

const promise7 = Promise.reject(0);

const promise8 = new Promise((resolve) => setTimeout(resolve, 100, ‘quick’));

const promise9 = new Promise((resolve) => setTimeout(resolve, 500, ‘slow’));

Promise.any([promise7,promise8,promise9]).then((values)=>{

    console.log(“all promises values – “,values);

})

  • Promise.race() = static method takes an iterable of promises as input and returns a single Promise.

    This returned promise settles with the eventual state of the first promise that settles

    note – if any one of the rejected promises comes then also it will give error.

// const promise11 = Promise.reject(0);

const promise11 = new Promise((resolve) => setTimeout(resolve, 100, ‘quick’));

const promise12 = new Promise((resolve) => setTimeout(resolve, 500, ‘slow’));

Promise.race([promise11,promise12]).then((values)=>{

    console.log(“all promises values – “,values);

})

basically both below used to This function flattens nested layers of promises.

Promise.resolve() – return promise resolve with value.

Promise.reject() – return the promise rejected.

Advantages of promises:

  1. Easy to Read Code and maintain.
  2. Advantage over callbacks.
  3. can handle multiple asynchronous tasks.

Disadvantages of promises:

  1. Complex Error Handling.
  2. For beginners it will create confusion.
  3. Hard Debugging error.

At the end – Promises is a Great Tool to handle Async Tasks. By using Async await we can handle Promises a lot easy way.

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