When you are looking for something but cannot find it in the entire video you watched for an hour. Like you want to study how to create buttons in html, you watch an entire video of tutorial but couldn't find that
Gestures can have a major impact on laptops just like on mobile phones. This this project makes the life of people easier by performing various tasks using just certain gestures. On the other hand this can also be used in scenario where a patient is unable to move their body. In such a case this can be used to play games which will work as an exercise and also some fun for the patient's mundane life.
This project investigates how mutual funds leverage credit derivative by studying their routine filings to the U.S. Securities and Exchange Commission. Credit derivatives are used to transfer credit risk related to an underlying entity from one party to another without transferring the actual underlying entity.
German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.
Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transform and Masking.
Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.
Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clones the driving behavior.
STU-NET: Stupid Neural Net as the acronym goes is a really bad attempt at making race car A.I . So the attempt is to have the car drift , slide and move with really high speed. Because mainstream self driving a.i is too normal.
For this project my research focus was on Image SuperResolution using Deep Learning. Most of my work involved exploring existing solutions and analysing and study their approach. The work was concluded with a Progressive Upsacalling methods using RDNSR with VGG Perceptual Loss for generating high resolution images. The Progressive upscalling can upscale to very high resolution given the RDNSR base network.
The project aims to use techniques like Conditional GAN , Image to Image translation , Texture and content transfer for aiding as a design tool for ethnic handloom weavers and also designers and industry as a whole.
Deep learning has proven to be effective for a variety of tasks. As the market for mobile and offline artificial intelligence develops, the need to reduce the memory and energy footprint of neural networks becomes vital. In this paper, we introduce HadaNets. HadaNets utilize a flexible tensor quantization scheme which trains a neural network from scratch by ‘pairing’ a full precision tensor to a binary tensor in the form of a Hadamard product. The train-time parameter count is preserved in Ha...