This project is mainly based on Convolution Neural Network and OpenCV.
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Updated
Feb 24, 2021 - Python
This project is mainly based on Convolution Neural Network and OpenCV.
CNN model Training to minimize the error between the desired command (data recorded) and the computed steering command output (from the CNN)
this repository is gentle introduction to convolution neural network
Udacity Self Driving Nanodegree Project 3
A simple Rock-Paper-Scissors game using Convolution Neural Network in Python, where using the webcam (using OpenCV) you can play your move and see yourself who's the winner - You or the Computer.
Movie classification using Convolution Neural Network (CNN) for text
Digit Recognizer Using Convolution Neural Network
Repository containing models based on ideas of Machine learning and Deep learning
Building Convolution Neural Networks from Scratch
This repository consists python code for conjunctivitis also known as pink eye image detection using convolution neural network
Implement neural style transfer to change the style of art paintings or photos.
Supervised segmentation of 3-dimensional images using a convolutional neural network.
Applied Deep Learning : Convolution Neural Networks
It is Web App built using Convolution Neural Network (CNN), Fashion MNIST greyscale Image Dataset & python libraries like Tensorflow, Keras, Flask, Numpy, Matplotlib which Predicts Fashion tag for Provided Image.
U-Net with Python
🚘 Driving a car in simulator using Behavioral Cloning.This project is created for Self Driving Car Nanodegree
A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood. Here, the impl…
Computer Vision: State of the Art model implementation using PyTorch framework.
Worked on the Project Pneumonia Detection using Chest X-Ray in the Phase 1 Period of Bertelsmann Nano Degree Scholarship Program
Estimating power system inertia using convolutional neural network
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