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Sandipan Dey
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Sandipan Dey's blog post was featured

Dogs vs. Cats: Image Classification with Deep Learning using TensorFlow in Python

The problemGiven a set of labeled images of  cats and dogs, a  machine learning model  is to be learnt and later it is to be used to classify a set of new images as cats or dogs. The original dataset contains a huge number of images, only a few sample images are chosen (1100 labeled images for cat/dog as training and 1000images from the test dataset) from the dataset, just for the sake of  quick demonstration of how to solve this problem using deep learning (motivated by the Udacity course Deep…See More
14 hours ago
Sandipan Dey posted a blog post

Dogs vs. Cats: Image Classification with Deep Learning using TensorFlow in Python

The problemGiven a set of labeled images of  cats and dogs, a  machine learning model  is to be learnt and later it is to be used to classify a set of new images as cats or dogs. The original dataset contains a huge number of images, only a few sample images are chosen (1100 labeled images for cat/dog as training and 1000images from the test dataset) from the dataset, just for the sake of  quick demonstration of how to solve this problem using deep learning (motivated by the Udacity course Deep…See More
14 hours ago
Sreekul Nair liked Sandipan Dey's blog post Deep Learning with TensorFlow in Python: Convolution Neural Nets
Sunday
Sandipan Dey's blog post was featured

Deep Learning with TensorFlow in Python: Convolution Neural Nets

The following problems appeared in the assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments (continued from the last post).Classifying the letters with notMNIST dataset with Deep NetworkHere is how some sample images from the dataset look like:Let’s try to get the best performance using a multi-layer model! (The best reported test accuracy using a deep network is  97.1%).One avenue you can explore is to add multiple…See More
Aug 9
Sandipan Dey posted a blog post

Deep Learning with TensorFlow in Python: Convolution Neural Nets

The following problems appeared in the assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments (continued from the last post).Classifying the letters with notMNIST dataset with Deep NetworkHere is how some sample images from the dataset look like:Let’s try to get the best performance using a multi-layer model! (The best reported test accuracy using a deep network is  97.1%).One avenue you can explore is to add multiple…See More
Aug 9
Bogdan Oancea liked Sandipan Dey's blog post Modeling the growth of a sunflower with golden angle and Fibonacci numbers in R
Aug 6
Alan Mustafa liked Sandipan Dey's blog post Modeling the growth of a sunflower with golden angle and Fibonacci numbers in R
Aug 6
Ciby Baby Punnamparambil liked Sandipan Dey's blog post Modeling the growth of a sunflower with golden angle and Fibonacci numbers in R
Aug 3
Ciby Baby Punnamparambil liked Sandipan Dey's blog post SIR Epidemic model for influenza A (H1N1): Modeling the outbreak of the pandemic in Kolkata, West Bengal, India, 2010
Aug 3
Ciby Baby Punnamparambil liked Sandipan Dey's blog post Crime Analytics: Visualization of Crime Incident Reports for Summar 2014 in San Francisco and Seattle
Aug 3
Abdurahim Abdulkadir liked Sandipan Dey's blog post Some Analysis with Astronomy data (in Python)
Aug 3
Sandipan Dey's 3 blog posts were featured
Aug 1
Sandipan Dey posted blog posts
Aug 1
Tailong Lei liked Sandipan Dey's blog post Deep Learning with TensorFlow in Python
Jul 30
Rihab Ben Aicha liked Sandipan Dey's blog post Deep Learning with TensorFlow in Python
Jul 26
Sandipan Dey's blog post was featured

SIR Epidemic model for influenza A (H1N1): Modeling the outbreak of the pandemic in Kolkata, West Bengal, India, 2010

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.SummaryIn this report, the spread of the pandemic influenza A (H1N1) that had an outbreak in Kolkata, West Bengal, India, 2010 is going to be simulated. The basic epidemic SIR model will be used, it describes three populations: a susceptible population, an infected population, and a recovered population and assumes the total population (sum of these 3 populations) as fixed over…See More
Jul 21

Profile Information

Short Bio
Currently Working as
Data Scientist, Turnoutnow

Research Interests
Data Mining, Machine Learning, Text Mining, Natural Language Processing, Information Retrieval, Optimization, Pattern Recognition, Algorithms, Programming/Problem Solving, Computational Photography, Computer Vision, Image Processing, Mathematics, Distributed/Cloud Computing.

Hobbies
Music, Movies

Education
MS, Computer Science, UMBC, USA
BE, Computer Science & Engineering, Jadavpur University, Calcutta, India

Rpubs
http://rpubs.com/sandipan/

WordPress blogs
https://sandipanweb.wordpress.com/

Tumblr blogs
http://sandipanumbc.tumblr.com/

Gmail blogs
https://www.blogger.com/blogger.g?blogID=7539416912746312433#allposts

Linked profile
https://www.linkedin.com/in/sandipan-dey-0370276

github
https://github.com/sandipan

Stackoverflow
http://stackoverflow.com/users/4706171/sandipan

DBLP
http://dblp.uni-trier.de/pers/hd/d/Dey:Sandipan

ArnetMiner
https://cn.aminer.org/profile/sandipan/53f4739edabfaee43ed2a4f6

Academia
https://umbc.academia.edu/SDey

ResearchGate
https://www.researchgate.net/profile/Sandipan_Dey

Rosalind
http://rosalind.info/users/sandipan/

Mathworks
http://demonstrations.wolfram.com/preview.html?draft/04814/000001/

Shinyapp
https://sandipan.shinyapps.io/rchartsentiment/

Coursera Profile
https://www.coursera.org/user/i/f34069ce8df6de7dbebfedfb7e760d9f
My Web Site Or LinkedIn Profile
http://https://www.linkedin.com/in/sandipan-dey-0370276
Field of Expertise
Analytics, Visualization, Big Data, Data Science
Professional Status
Technical
Years of Experience:
10+
Your Job Title:
Data Scientist
Interests:
Other

Sandipan Dey's Blog

Dogs vs. Cats: Image Classification with Deep Learning using TensorFlow in Python

Posted on August 14, 2017 at 1:00pm 0 Comments

The problem

Given a set of labeled images of  cats and dogs, a  machine learning model  is to be learnt and later it is to be used to classify a set of new images as cats or dogs. 

  • The original dataset contains a huge number of images, only a few sample images are chosen (1100 labeled images for cat/dog as training…
Continue

Deep Learning with TensorFlow in Python: Convolution Neural Nets

Posted on August 3, 2017 at 10:30pm 0 Comments

The following problems appeared in the assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments (continued from the last post).

Classifying the letters with notMNIST dataset with Deep Network

Here is how some sample images from the dataset look like:

im13

Let’s try to get the best performance using a multi-layer model!…

Continue

Modeling the growth of a sunflower with golden angle and Fibonacci numbers in R

Posted on August 1, 2017 at 1:30am 0 Comments

  • In this article, a mathematical model for the growth of a sunflower (shown below) will be described (reference: the video lectures of Prof. Jeffrey R Chesnov from Coursera Course on Fibonacci numbers).

    sunflower

  • New florets are created close to center.
  • Florets move radially out with constant speed as the sunflower grows.
  • Each new…
Continue

Crime Analytics: Visualization of Crime Incident Reports for Summar 2014 in San Francisco and Seattle

Posted on July 31, 2017 at 4:00am 0 Comments

  1. In this assignment, some exploratory analysis is done on the criminal incident data from Seattle and San Francisco to visualize patterns and contrast and compare patterns across the two cities.
  2. Data used: The real crime dataset from Summer (June-Aug) 2014 for both of two US cities Seattle and San Francisco has been used for the analysis. The datasets used for…
Continue

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