Problem Statement This is a multi knapsack problem. We have to execute a number of tasks on a fixed number of hosts. Duration of each task and the number hosts on which we want to distribute the tasks is fixed (in this case it is let’s say 3). Individual tasks can not…

The Semantic Web Technology has a lot of potential to facilitate web data to be quickly understood by machines. With original data and a semantic triplet database, one can convert data into useful knowledge. …

(Image taken from tensor flow blog https://blog.tensorflow.org/2019/03/introducing-tensorflow-privacy-learning.html) I was checking out Machine Learning with differential privacy in Tensor Flow in http://www.cleverhans.io/privacy/2019/03/26/machine-learning-with-differential-privacy-in-tensorflow.html Differential Privacy is a framework for measuring the privacy guarantees provided by an algorithm. Through the lens of differential privacy, we can design machine learning algorithms that responsibly train…

In computer vision, image segmentation is the process of partitioning an image into multiple segments and associating every pixel in an input image with a class label. Semantic segmentation algorithms are used in self-driving cars. I got intrigued by this post by Lex Fridman on driving scene segmentation. …

What is Anomaly Detection In data science, anomaly detection is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. In the following figure anomaly data which is a spike (shown in red color). …

The question is can we identify “Boy” from “Alien”? Face Recognition addresses “who is this identity” question. This is a 1:K matching problem. We have a database of K faces we have to identify whose image is the give input image. Facenet is Tensorflow implementation of the face recognizer described…

You only look once (YOLO) is a state-of-the-art, real-time object detection system. It applies a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. It looks at…

In this blog I am going to explain object detection using OpenCV library. OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. It has modules like Image Processing, Video Analysis, Object Detection. …

A recurrent neural network (RNN) is a class of neural network that performs well when the input/output is a sequence. RNNs can use their internal state/memory to process sequences of inputs. Neural Network models are of various kinds One to one: Image classification where we give an input image and…