Day2 #100DaysOfMLCode challenge

*This post is part of my #100DaysOfMLCode challenge. Learning about Machine Learning for 100days continuously. I have taken images from my specialization course which I have taken on Coursera.

*please ignore my writing skills. and also I didn’t organize the information well. This Post is about what I have understood from the videos which I have watched.

Coursera’s Deep Learning Specialization course homepage:

check my Previous blog post : What is a Neural Network?

Supervised Learning with Neural Networks


Neural networks plays a good role in Online Advertising where it takes all the user’s information and predicts whether the user clicks on the ads or not.

Supervised learning is the one which takes a certain input X and uses certain function to map with the output Y .


As you can see in the image. These are the applications of SuperVised Learning. And their input and output is given respectively.


For image applications we often use Convolutional Neural Network.
For Sequence Data, we often use Recurrent Neural network.
For Autonomous Driving etc, we often use Custom/Hybrid Neural Network.


There are basically three types of neural networks. They are
1.Standard Neural Network
2.Convolutional Neural Network
3.Recurrent Neural Network


Example of Structured and Unstructured Data.

Structured data Contains clearly define features values.

Why is Deep Learning taking off?

Continue reading “Day2 #100DaysOfMLCode challenge”


What is a Neural Network?

Hello Friends,

Story Behind this post:

I always wanted to write posts about Computer Science. I feel happy when I write about these stuff. Since last month I started exploring DataScience Field. I am focusing to get a job in DataScience Field. The thing which got me attracted to DataScience field is Deep Learning.

Most Deep Learning models are based on Artificial Neural Network which came from the concept of Neural network in the Human Brain. The main reason for starting this Website is to explore the fields related to Human Brain, Space and Computer Science.

Deep Learning deals with two of my favourite Topics(Human Brain and Computer Science ). So this is the main reason why I started to explore Deep Learning.


As a part of Exploring Deep Learning. I have taken a Specialization course on Coursera.

Course Homepage :

This Specialization course is taught by Andrew Ng. Andrew Ng is a great person with the greatest teaching skills.


I am going to teach whatever concepts which I have learnt in this course. Images are taken from the Course Videos.

Today Topic is about ” What is Neural Network?housing price prediction

Let us consider an example of housing price prediction problem. Let’s say we have a dataset of 6 houses containing the features like the price of the house and the size of the house. After depicting the values of 6 dataset values on the graph. We need to have a function which satisfies these dataset values and able to predict next house price with a Value of size of the house.  We can fit a straight line satisfying these values


Using the concept of linear regression we can able to set a straight line satisfying these values. What we have done as you can see in the above image is an example of Simplest Neural Network.

Simplest Neural Network.


In the image as you can see, there is one input named “ size “  and it goes into a Neuron( little circle as shown in the image) where the actual function resides and gives output in the form of a price. Neuron implements the function which we have drawn in the image as shown above.  Neuron Computes input values using the Linear function.


Sometimes in the Neural Network Literature, we often come up with a graph(or a function ) which starts with zero and continues which a straight line with a certain slope.

That particular type of function is called as “ReLU” Function. Rectified Linear Unit.

Larger Neural Network is built by stacking small neurons (Like shown in the above image ).


As you can see in the image, it’s an example of a larger Neural Network. This Larger Neural Network contains more than one input ( more than one features ).

**Here I got a doubt whether we can use different activation functions for some set of neurons and a different set of activation functions for another set of neurons.??? ( I googled this doubt and find out that Yes, we can use )


As you can see in the image, we just need to give the inputs and it will predict the price of the house using Training examples which we have given.


As you can see in the image, each of the hidden units( neurons) are connected by each input features so that each neuron in the hidden unit has the opportunity to decide and think in several aspects to predict the output.

->Given enough examples of (X,Y) neural network will do a remarkable job in figuring out the functions that accurately map (X) to (Y)

Whatever explained so far in the Neural network is an example of Supervised Learning. Which means the system takes certain input (X) and gives back the result (Y) as output.





Why did Microsoft Acquired Github?

I actually wanted to know why did Microsoft acquired github? and what’s their main motto for this.

They have clearly mentioned their motto. I have seen their blog post regarding this acquisition. Following are the things which they have written in their post.

Image Source: Source

Given all of this, together with GitHub, we see three clear opportunities ahead.

First, we will empower developers at every stage of the development lifecycle – from ideation to collaboration to deployment to the cloud. Going forward, GitHub will remain an open platform, which any developer can plug into and extend. Developers will continue to be able to use the programming languages, tools and operating systems of their choice for their projects – and will still be able to deploy their code on any cloud and any device.

Second, we will accelerate enterprise developers’ use of GitHub, with our direct sales and partner channels and access to Microsoft’s global cloud infrastructure and services.

Finally, we will bring Microsoft’s developer tools and services to new audiences.

Most importantly, we recognize the responsibility we take on with this agreement. We are committed to being stewards of the GitHub community, which will retain its developer-first ethos, operate independently and remain an open platform. We will always listen to developer feedback and invest in both fundamentals and new capabilities.

Information Source: Link to the Source

Elon Musk


Well, You may already know him. He is a South African-born Canadian American business magnate, investor, engineer and inventor.

I adore him a lot, not because of the above titles he has but he has a clear vision for the future.Among the companies, he is associated with I have a special interest in SpaceX, Neuralink, and OpenAI.

Once he stated,  “making life multiplanetary “by establishing a human colony on Mars.

That word ” Multiplanetary ” buzzing around my subconscious and conscious as well since my childhood days. I have a lot of interest in planets, space etc. After he stated that sentence, one of my vision ( vision of seeing people in establishing colonies in another planet ) matched with his. After that, I got attracted to the works which he is doing to change the world and humanity.


Hello This is Cherry

Welcome to my Website.

Why did I start this website?
I always wanted to write posts about the topics which I am interested in. So decided to start this.

Why did I name this as “”?
Because it’s cool 😉

My main areas of Interest: Computer Science, Space, and Psychology

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