This project aims at determinig the genre of the movie using its posters for image classifications CNNs are the most effective types of neural network in this project we try to create a CNN which would predict the genres of these movies.

Classify traffic signs from the German Traffic Sign Dataset

Coursera Course

Image colorization is a challenging task and a topic of ongoing research in the area of Computer Vision. We present a convolutional-neural-network-based system that faithfully colorizes black and white photographic images without direct human assistance. We explore various network architectures, objectives, color spaces, and problem formulations…

A web application developed to generate captions from images. It can also detect edges and corners of an image. Furthermore, it can perform comparative anomaly detection.

Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.

The main objective of this project was to implement a web application for dermatological patients to keep track of their skin health and help them make early detection of skin cancer. One of the areas with the greatest potential impact was the contribution that web applications can reduce the communication gap between dermatological patients wit…

Falcon breed classifier

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Here you will learn Machine Learning from the start. We have code all the concepts in both python and R.

A web application to detect fake news headlines based on CNN model with TensorFlow and Flask.

AI project using deep learning (CNN) to flower classification

Proyecto de cálculo, Lead University

Udacity project for Dog breed classifier using CNN

tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy