Coder Legion - Recent posts tagged input

Understanding ReLU activation function for Neural Network

Thu, 16 Jul 2026 04:34:38 +0000

Hello, I'm Ganesh. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free, unlimited, and source-available on Github. Star git-lrc on GitHub to help more developers discover the project. Do give it a try and share your feedback for improving the product.

In the previous article, we discussed how backpropagation actually works. We also calculated weight and bias for all the layers.
We used soft plus activation function for our small neural network.

Now in this article let's use ReLU function for the neural network.

Defination of ReLU

It is a function which will return the input if the input is positive otherwise it will return 0.

f(x) = max(0,x)

In normal expression

f(x) = 1 if x > 0
0 if x <=0

Using ReLU in Neural Network

For First Layer we can calculate.

As we use 2 hidden neurons in the first layer we have to calculate for both the neurons separately.

x1 = ( input x weight1 ) + bias1
y1 = ReLu(x1)

Similarly calculating for second hidden neuron.

x2 = ( input x weight2 ) + bias2
y2 = ReLu(x2)

Conclusion

From both equation we can calulate the outputs of first layer and can pass it to the second layer.

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Introduction to Neural Networks

Sun, 31 May 2026 18:12:12 +0000

Hello, I'm Ganesh. I'm building git-lrc, a free, micro AI code review that runs on commit. It is free, and source-available on GitHub. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product.

In this series of articles, we will explore the world of neural networks and how they work.

In this article, we will discuss the fundamental idea of neural networks.

What is a Neural Network?

A neural network is a computational model that is inspired by the structure and function of the human brain.

It is widely used in many fields like image recognition, natural language processing, etc.
It is most popular machine learning algorithm.

Simplest image of a Neural Network is :

What Neural Networks Manily Do?

It tries to approximate the function of the given input and map it to the output.

In simple terms, it tries to learn the relationship between the input and output. It approximates the output based on the input data.

This will be be done with basic mathematical functions which totaly changes based on the data we provided.

For example:

Let's take example of Drug which can cure illness.

Now let's split the gruop of people based on dosage of drug they consume.

Low dosage: Group A
Medium dosage: Group B
High dosage: Group C

Most Commonly Gruop results may be ploted as this in the graph.

To predict the efficacy of the dosage of drug we can't simply use simple straight line or normal distribution.

As for example I ploted this graph for understaning on how it is done.

This is where nerual network will help.

If we have data points in different location it will find and draw a line to predict the values between the points.

By above graph we can able to understand what neural network can do.

Conclusion

Neural Network is the best tool to fit the data points which are scattered with curve which we can use it to predict the values in between the data points.

We got to know with basic example what it actualy do.

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Attention Is All You Need - Part 1

Wed, 29 Apr 2026 18:29:39 +0000

Hello, I'm Ganesh. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free, unlimited, and source-available on Github. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product.

I will going to discuss about the paper "Attention Is All You Need" which introduced the Transformer architecture in 2017 and it has become one of the most important models in the field of NLP.

This paper was published in 2017 by Google researchers.

What is Background?

The Goal of Machine Learning is to learn mapping from input to output.

For example:
Predicting house price based on sqft was based on bedrooms, bathrooms, locality, etc

In email spam detection, the input is email text and the output is spam or not spam.

This were mapped through neural networks.

Neural networks is sequence of layers each transforming an input to output of previous layer.

But this had a major limitation that it was not able to capture the long range dependencies in the input.

What problem they solved?

The earlier models were based on Recurrent Neural Networks (RNNs) processed one token per time step.

Which mainly had two problems:

It was not able to capture the long range dependencies in the input.
It was not able to process the input in parallel. As it was only depended on sequential information.

How this was solved?

Transformer architecture was introduced to solve this problem.

It is based on attention mechanism.

Which allows the model to focus on the most relevant parts of the input sequence.

This is simple explaination for now I will conclude and wrap it up for this article.

Conclusion

In this article, we discussed the background of the Attention Is All You Need paper and the problem it solved.

In the next article, we will discuss the Transformer architecture in detail with an example.

Reference: https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

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Can't bind to 'ngmodel' since it isn't a known property of 'input'

Mon, 29 Sep 2025 23:42:57 +0000

Today, we'll discuss about the common error in Angular: Can't bind to 'ngmodel' since it isn't a known property of 'input'. The error will occur when we tend to use the two-way data binding using 'ngModel' in our input tag. Well, there's a very simple and quick fix to this error, just by importing the "FormsModule" module in our app.module.ts. Let's go through this blog to see how it works.

What is "Can't bind to 'ngmodel' since it isn't a known property of 'input'" #

As we mentioned above, this error occurs when we try to use ngModel with the input tag but we didn't not import it in our Angular app.module.ts. Let's look at the example below:

In component.html

In component.ts



  name: string =  "";

This is the error:



  Can't bind to 'ngModel' since it isn't a known property of 'input'.ngtsc(-998002)

Caution
Can't bind to 'ngModel' since it isn't a known property of 'input'.ngtsc(-998002)

From above example, you may see that we're using two-way data binding (put a banana in a box) which bind between and "name" property in the ts file. The logic and syntax is exactly corerct, but why this error still happens? Let's move to the next section.

Causes #

Actually, ngModel is a directive in FormsModule in Angular. If we didn't import it in our app.module.ts, it means that we're not authorized to use ngModel throughout our Angular application. This is the reason why ngModel is not recognized in our even we're using it correctly. Therefore, we must tell our Angular application that ngModel is actually a part of our aplication. So how? Let's continue exploring.

Solution #

First, go to your app.module.ts:


import { NgModule } from '@angular/core';
import { BrowserModule } from '@angular/platform-browser';

import { AppRoutingModule } from './app-routing.module';
import { AppComponent } from './app.component';

@NgModule({
  declarations: [
    AppComponent
  ],
  imports: [
    BrowserModule,
    AppRoutingModule
  ],
  providers: [],
  bootstrap: [AppComponent]
})

export class AppModule { }

Next, import the FormsModule in your app.module.ts:


  import { FormsModule } from '@angular/forms';

Finally, put the FormsModule in imports: [ ] of the @NgModule directive:


  imports: [
    BrowserModule,
    AppRoutingModule,
    FormsModule
  ],

With these, we're telling our Angular application that FormsModule is our part of member, and we can use the directives provided by it, such as ngModel. After this, you may see the error disappears and you can continue building your application or use ngModel anywhere in your components for two-way data binding!

The Conclusion #

Great, you must be able to solve this simple error after going through this study blog. In this blog, we've learned what is Can't bind to 'ngmodel' since it isn't a known property of 'input', its causes and the solution to fix it. Hope your guys enjoy this tutorial and find it helpful. Thanks :)

The Reference #

For further information, you may visit these links:

Two-Way Data Binding: https://angular.io/guide/two-way-binding
NgModel: https://angular.io/api/forms/NgModel

Coder Legion - Recent posts tagged input

Understanding ReLU activation function for Neural Network

Defination of ReLU

Using ReLU in Neural Network

Conclusion

Introduction to Neural Networks

What is a Neural Network?

What Neural Networks Manily Do?

Conclusion

Attention Is All You Need - Part 1

What is Background?

What problem they solved?

How this was solved?

Conclusion

Can't bind to 'ngmodel' since it isn't a known property of 'input'

Table of Contents:

What is "Can't bind to 'ngmodel' since it isn't a known property of 'input'" #

Causes #

Solution #

The Conclusion #

The Reference #