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Rashida Nasrin Sucky
Rashida Nasrin Sucky

5.9K Followers

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Published in

Towards Data Science

·Aug 14

Implementation of a Siamese Network in Keras and TensorFlow

Learn the techniques behind object detection (and much more) with example code. — Neural Networks are great and very popular in AI/ML spaces, but they require too much data to train. For tasks like object detection, signature verification, voice verification, and prescription pills recognition regular neural network techniques would be much more time-consuming and expensive because of this excessive data requirement. In these…

Artificial Intelligence

7 min read

Implementation of a Siamese Network in Keras and TensorFlow
Implementation of a Siamese Network in Keras and TensorFlow
Artificial Intelligence

7 min read


Published in

Towards AI

·Jul 31

ParDo and DoFn Implementation in Apache Beam in Details

Detail Explanation of Code For Beginners I wrote a tutorial on some common transform functions in Apache Beam in a previous tutorial that covered map, filter, and combinePerKey(). This tutorial will be for ParDo transform which is nothing but another way of doing Map. But the difference is ParDo applies…

Data Science

5 min read

ParDo and DoFn Implementation in Apache Beam in Details
ParDo and DoFn Implementation in Apache Beam in Details
Data Science

5 min read


Published in

Towards AI

·Jul 19

Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model

Use of Hyperband Tuner with Complete Code — TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On the other hand, it won’t be as great without the right parameters. All of my previous tutorials on Tensorflow showed very good results. But I only presented my last version…

Machine Learning

7 min read

Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model
Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model
Machine Learning

7 min read


Published in

Towards Data Science

·Jul 12

Map, Filter, and CombinePerKey Transforms in Writing Apache Beam Pipelines with Examples

Let’s Practice with Some Real Data — Apache Beam is getting popularity as the unified programming model for efficient and portable big data processing pipelines. It can deal with both batch and streaming data. That’s how the name comes from. Beam is combination of the words Batch and Stream: B(from Batch) + eam(from stream)= Beam The portability…

Data Science

8 min read

Map, Filter, and CombinePerKey Transforms in Writing Apache Beam Pipelines with Examples
Map, Filter, and CombinePerKey Transforms in Writing Apache Beam Pipelines with Examples
Data Science

8 min read


Published in

Towards AI

·Jun 26

A Detailed Tutorial on Polynomial Regression in Python, Overview, Implementation, and Overfitting

Complete code in Python — I have been writing tutorials on Machine learning, deep learning, data visualization, analysis, and statistics for some time. But I realized I didn’t write too much about some simple machine learning pipelines that can be very useful. …

Data Science

7 min read

A Detailed Tutorial on Polynomial Regression in Python, Overview, Implementation, and Overfitting
A Detailed Tutorial on Polynomial Regression in Python, Overview, Implementation, and Overfitting
Data Science

7 min read


Published in

Towards Data Science

·Feb 27

Complete Implementation of a Mini VGG Network for Image Recognition

A deep Convolutional Neural Network for more efficient Image Recognition — VGG Network is the basis for one of the most popular image recognition techniques. It is worth learning because it opens a lot of avenues. You need to understand how a Convolutional Neural Network (CNN) to understand VGGNet. …

Artificial Intelligence

7 min read

Complete Implementation of a Mini VGG Network for Image Recognition
Complete Implementation of a Mini VGG Network for Image Recognition
Artificial Intelligence

7 min read


Published in

Towards Data Science

·Jan 24

Easy Method of Edge Detection in OpenCV Python

Using Canny Edge Detection Efficiently — Edge detection is very common and widely used image processing necessary for many different computer vision applications like data extraction, image segmentation, and in more granular level feature extraction, and pattern recognition. …

Computer Vision

4 min read

Easy Method of Edge Detection in OpenCV Python
Easy Method of Edge Detection in OpenCV Python
Computer Vision

4 min read


Published in

Towards Data Science

·Jan 12

How to Perform Image Segmentation with Thresholding Using OpenCV

Simple, Otsu, and Adaptive Thresholding Implementation with Examples — One of the most commonly used segmentation techniques is thresholding. It is widely used in computer vision and is very useful to separate the object that we are interested in from the background. This article will focus on the thresholding techniques in OpenCV. There are three different types of thresholding…

Data Science

6 min read

How to Perform Image Segmentation with Thresholding Using OpenCV
How to Perform Image Segmentation with Thresholding Using OpenCV
Data Science

6 min read


Published in

Towards Data Science

·Dec 27, 2022

Morphological Operations for Image Preprocessing in OpenCV, in Detail

Erosion, dilation, opening, closing, morphological gradient, tophat / whitehat, and blackhat explained with examples — In my last article, I wrote about some basic image processing in OpenCV. Today, we will advance a little bit and work on the morphological operations which are commonly used in image processing. Morphological operations are used to extract the region, edges, shapes, etc. What are Morphological Operations?

Computer Vision

8 min read

Morphological Operations for Image Preprocessing in OpenCV, in Detail
Morphological Operations for Image Preprocessing in OpenCV, in Detail
Computer Vision

8 min read


Published in

Towards Data Science

·Dec 14, 2022

Some Basic Image Preprocessing Operations for Beginners in Python

OpenCV for beginners: move or translate, resize, and cropping — One of the most used libraries for handling image processing and manipulation is openCV for Python users. For image classification, object detection, or optical character recognition, any work related to images in the AI world need some kind of image processing and manipulation most of the time. …

Image Processing

6 min read

Some Basic Image Preprocessing Operations for Beginners in Python
Some Basic Image Preprocessing Operations for Beginners in Python
Image Processing

6 min read

Rashida Nasrin Sucky

Rashida Nasrin Sucky

5.9K Followers

MS in Applied Data Analytics from Boston University. Read my blog: https://regenerativetoday.com/

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