shubham3121/DL-3

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shubham3121/DL-3

shubham3121

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Exploratory Data Analysis ; Deep Learning 3;

music-generation-using-rnn

The current technological advancements have transformed the way we not only produce, but listen and work with music. In this notebook, we will use Recurrent Neural Networks, to build a character-based model that generates jazz piano notes.

Jupyter Notebook

object-detection-using-yolo

The repository contains files to build a object detection model using the yolo pre-trained weights. We have then applied transfer learning to train the model on the Berkley Driving dataset.

Jupyter Notebook

Computational-Motion-Planning

This repository consists of various programming assignments to solve the motion planning problem using different approaches including graph-based methods, randomized planners and artificial potential fields.

Deep-Learning-Beginner

Wildlife images captured in a field represent a challenging task while classifying animals since they appear with a different pose, cluttered background, different light and climate conditions, different viewpoints, and occlusions. Additionally, animals of different classes look similar. All these challenges necessitate an efficient algorithm for classification. In this challenge, you will be given 19,000 images of 30 different animal species. Given the image of the animal, your task is to predict the probability for every animal class. The animal class with the highest probability means that the image belongs to that animal class.

laymon

A Python based library used to visualise features maps of a neural network.

AERIAL-ROBOTICS

This course provides an introduction to the mechanics of flight and the design of quadrotor flying robots and teaches to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. We are also exposed to the challenges of using noisy sensors for localization and maneuvering in complex, 3D environments.

Control-of-Mobile-Robots

Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. This course is created by Georgia Institute of Technology and taught by Dr. Magnus Egerstedt on Coursera.

Machine_Learning_ND

This repository consists of projects using different Machine Learning techniques taught in the Machine Learning Engineer Nanodegree at Udacity.

Jupyter Notebook

Real-time-Bluetooth-Networks

Programming assignments related to the course Real-Time Bluetooth Networks, UTAustinX: UT.RTBN.12.01x

Hackerearth

Programming Challenges at Hackerearth

Jupyter Notebook

soft-robotic-gripper

This project captures the developement of a soft robotic gripper that exhibits the grasping and release action similar to a human hand using Nickel Titanium coils as actuators.