Face Recognition using number of different approaches.
-
Updated
Sep 10, 2018 - Jupyter Notebook
Face Recognition using number of different approaches.
A face recognition system, built with Keras
CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params
Transformed raw text data into images with the help of Stanford developed GloVe word embeddings. Used with a custom designed ConvNet, in 1D.
Image Classification with CNNs with keras on CIFAR-10 Dataset
This a machine learning application made using Django-framework for solving mathematical equations, handwritten by the user itself using a canvas. It utilizes a Convolutional Neural Network(CNN) model for recognizing the input text.
Classification CNN models
Collection of Coursera's Deep Neural Networks with PyTorch course by IBM labs notebooks.
proposing an approach to detect fake news of COVID-19 in social media while using natural language processing and machine learning techniques.
본 시스템은 Yolo v3를 이용하여 Object Detection할 수 있는 프로그램입니다. 이미지, 동영상, WebCam모드를 지원합니다.
Config files for my GitHub profile.
This study was conducted in collaboration with the University of Prishtina (Kosovo) and the University of Oslo (Norway). This implementation is part of the paper entitled "Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method", published in the International Journal of Applied Artificial Intelligence by Taylo…
Image Classification of 4 Categories of Corn Diseases Using CNN in TensorFlow and Keras, with the model deployed via a Flask API. The model accuracy is 95%.
Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
Final project for Signal Processing course that focuses on Parkinson's Disease detection.
Image Caption Generator - Deep Learning
Add a description, image, and links to the cnn-model topic page so that developers can more easily learn about it.
To associate your repository with the cnn-model topic, visit your repo's landing page and select "manage topics."