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. …

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. …

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…

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?

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. …

Step-by-step explanation and examples with complete code — I have several tutorials on Tensorflow where built-in loss functions and layers had always been used. But Tensorflow is a lot more dynamic than that. It allows us to write our own custom loss functions and create our own custom layers. …

With complete code — I wrote several tutorials on TensorFlow before which include models with Sequential and Functional API, Convolutional Neural Networks, Reinforcement Neural Networks, etc. In this article, we will work on a model using Functional API but it will predict two outputs with one model. If you already know how functional API…

A detailed tutorial — Pivot is a very simple function in BigQuery that can be very useful when you need to rotate rows into columns. It uses an aggregate function on rows and converts the categories in rows to columns. There is unpivot function that does totally an opposite operation. …

Adding Some Extra Flavor to Your Python Plots — Matplotlib is arguably the most popular visualization library in Python. The library is big and it is hard to really learn everything in the library. I have shared quite a lot of plots, tricks, and tips to make nicer visuals in matplotlib. …