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…
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…
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…
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…
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…
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…
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…
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…
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…
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…