Author Biographical Info: Versatile engineer with expertise and skills in Robotics, Data Science, CAD design and simulations, Website development, and Optimization.
Stroke detection using Regression | Python
Stroke is a medical disorder commonly caused when the supply of blood to a part of the brain is reduced/ interrupted. This will, in turn, reduce the oxygen supply to the brain tiss.... Read More
Steel Surface Inspection in Keras | Python
Steel surface inspection is usually done by professionals and it is a very important inspection especially for social infrastructures. Large-scale inspection and position capturing.... Read More
Cassava Disease Detection | Python
Cassava disease affects the overall growth of the plants and their tubers depending on the level of infection. In this article, we propose a very unique deep learning method using .... Read More
Pneumonia X-Ray detection, Keras | Python
In this article, a simple convolutional neural network is demonstrated without any pre-trained network or any data augmentation. The aim of this article is to explain the basic con.... Read More
Squeeze-Excitation Residual Network using Keras
In general, when the depth of a network increases, accuracy reduces in a convolution. Thus, AI researchers introduced Residual Networks which solves these issues, thereby increasin.... Read More
Salt Identification using Keras | Python
In this article, salt deposit detection using UNets fused with a simple residual network is done. A study claims that 70% of the Earth’s surface is covered with water, among .... Read More
BRIEF and FAST feature extraction | Python
In a lot of real-life applications, we try to use the camera for detection and navigation purposes considering its robustness and accuracy. Identifying the features are very essent.... Read More
Lane Detection using Neural Networks with Keras
In this article, lane detection for autonomous vehicles with the help of convolutional neural networks is done. We have previously worked on Lane detection using Canny edge and Hou.... Read More
Deep Convolutional Generative Adversarial Network | Python
Generative Adversarial Network is developed recently by Ian Goodfellow. They are a DL model to capture the training data distribution enhancing the generation of new data from a gi.... Read More
Instance Segmentation with Custom Datasets in Python
Instance segmentation can detect objects within the input image, isolate them from the background, and also it takes a step further and can detect each individual object within a c.... Read More