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Muhammad Rizwan
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Muhammad Rizwan posted a blog post

Why Use Framework for Deep Learning?

Why Use Framework for Deep Learning?You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. There are many deep learning frameworks available in the market that makes it easy for you to implement neural networks. Some of…See More
Oct 4
Muhammad Rizwan's blog post was featured

Why Use Framework for Deep Learning?

Why Use Framework for Deep Learning?You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. There are many deep learning frameworks available in the market that makes it easy for you to implement neural networks. Some of…See More
Oct 4
Prabhakaran Sampath liked Muhammad Rizwan's blog post K Means Clustering Algorithm & its Application
Oct 1
Prabhakaran Sampath liked Muhammad Rizwan's blog post Convolutional Neural Network  (CNN) From Scratch
Oct 1
Amit Dubey liked Muhammad Rizwan's blog post K Means Clustering Algorithm & its Application
Sep 30
Muhammad Rizwan posted a blog post

K Means Clustering Algorithm & its Application

What is K Means Clustering?Clustering means grouping things which are similar or have features in common and so is the purpose of k-means clustering. K-means clustering is an unsupervised machine learning algorithm for clustering ‘n’ observations into ‘k’ clusters where k is predefined or user-defined constant. The main idea is to define k centroids, one for each cluster.The K Means algorithm involves:Choosing the number of clusters “k”.Randomly assign each point to a cluster.Until clusters…See More
Sep 27
Muhammad Rizwan's blog post was featured

K Means Clustering Algorithm & its Application

What is K Means Clustering?Clustering means grouping things which are similar or have features in common and so is the purpose of k-means clustering. K-means clustering is an unsupervised machine learning algorithm for clustering ‘n’ observations into ‘k’ clusters where k is predefined or user-defined constant. The main idea is to define k centroids, one for each cluster.The K Means algorithm involves:Choosing the number of clusters “k”.Randomly assign each point to a cluster.Until clusters…See More
Sep 27
Muhammad Rizwan posted a blog post

Convolutional Neural Network  (CNN) From Scratch

IntroductionIn a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the last layer is the output layer. In Computer Vision applications where the input is an image, we use convolutional neural network because the regular fully connected neural networks don’t work well. This is because if each pixel…See More
Sep 25
Muhammad Rizwan's blog post was featured

Convolutional Neural Network  (CNN) From Scratch

IntroductionIn a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the last layer is the output layer. In Computer Vision applications where the input is an image, we use convolutional neural network because the regular fully connected neural networks don’t work well. This is because if each pixel…See More
Sep 25
Muhammad Rizwan posted blog posts
Aug 24
Muhammad Rizwan's blog post was featured

First Step to Become Data Scientist

Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage.A – Brief HistoryData Science is not a new field as the statisticians were doing the job even before the computer invention. Though, the evolution of modern computing technologies empowered statisticians to solve a wide variety of practical problems with heavy number crunching and massive data storage. The terms ‘knowledge discovery’ and ‘data mining’ came widely in use in the…See More
Aug 23
Muhammad Rizwan updated their profile
Aug 20
Muhammad Rizwan updated their profile photo
Aug 20

Profile Information

Short Bio
I am a professional engineer, enthusiast programmer, passionate data scientist and machine learning student.

Contact: [email protected]
My Web Site Or LinkedIn Profile
http://engmrk.com
Field of Expertise
Data Science, Machine Learning, Deep Learning
Professional Status
Technical
Years of Experience:
8
Your Company:
DEWA
Your Job Title:
Engineer
How did you find out about DataScienceCentral?
internet
Interests:
Networking

Muhammad Rizwan's Blog

Why Use Framework for Deep Learning?

Posted on October 3, 2018 at 8:00pm 0 Comments

Why Use Framework for Deep Learning?

You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. …

Continue

K Means Clustering Algorithm & its Application

Posted on September 27, 2018 at 7:06am 0 Comments

What is K Means Clustering?

Clustering means grouping things which are similar or have features in common and so is the purpose of k-means clustering. K-means clustering is an unsupervised machine learning algorithm for clustering ‘n’ observations into ‘k’ clusters where k is predefined or user-defined constant. The main idea is to define k centroids, one for each cluster.

The K Means algorithm…

Continue

Convolutional Neural Network  (CNN) From Scratch

Posted on September 24, 2018 at 3:00pm 0 Comments

Introduction

In a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the last layer is the output layer. In Computer Vision applications where the input is an image, we use convolutional neural network…

Continue

First Step to Become Data Scientist

Posted on August 24, 2018 at 3:30am 0 Comments

Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage.

A – Brief History

Data Science is not a new field as the statisticians were doing the job even before the computer invention. Though, the evolution of modern computing technologies empowered statisticians to solve a wide variety of practical problems with heavy number crunching and massive data storage. The terms ‘knowledge…

Continue

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