Keras library has several callback functions that make your model training very efficient. One of them is EarlyStopping which I love to use. It saves time and computation costs in…
All the tutorials about TensorFlow and neural networks I have shared until now have been about supervised learning. This one will be about the Autoenocder which is an unsupervised learning technique. If I…
In TensorFlow we get everything ready for us. It takes care of the mathematical part for us. But to a lot of extent, we can take control of the mathematical…
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…
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…
The Convolutional Neural Network (CNN) is a multi-layered neural network that is known to be able to detect patterns and complex features. It has been useful in face detection, self-driving cars, and a lot more very…