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Hossam Elkady's Projects

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General Front End Nanodegree Content Resources

generate-tv-scripts icon generate-tv-scripts

In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using a Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script.

image-segmentation icon image-segmentation

Image segmentation means that we can group similar pixels together and give these grouped pixels the same label. The grouping problem is a clustering problem. We used K-means and spectral clustering on the Berkeley Segmentation Benchmark.

numericallab icon numericallab

The aim of this assignment is to compare and analyze the behavior of numerical methods studied in class {Bisection, False-position, Fixed point, Newton-Raphson, Secant}.

object-detection-and-depth-sensing-for-a-small-autonomous-robot-system icon object-detection-and-depth-sensing-for-a-small-autonomous-robot-system

Building the perception stage of a small autonomous racecar system running on NVIDIA Jetson TX2. ZED Stereo Camera is used for visual input. The algorithm is developed in Python 2 using Robot Operating System (ROS). It uses YOLO to extract the detected objects in the racecar's environment and their estimated distances obtained from the stereo camera parameters. This information is then fed to the master controller of the ROS node, which can then be used to plan and control the autonomous racecar.

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