Deep Learning using TensorFlow, Image Classification Using Spark and Google Conversation API

AutoDraw on iOS

Galaxy Classification Algorithms | IAYC 2017 | The aim of this project is to classify large sets of pictures of galaxies into three different categories using ML algorithms.

Neural Nets, Image Claassification

Skin Lesion Analysis Towards Melanoma Detection

codelab

Homework for CS578

A tensorflow tool for loading some pre-trained models from MatConvNet

work with the cognitive service provided by Microsoft Azure to build image classifier

Creating Digit Classifier using Transfer Learning with keras on Digit MNIST Dataset

Vancouver School of AI - Image Classification

Vancouver School of AI - Image Classification Series 2

Implementation of Min-Max CNN for Image Classification in Pytorch

Final Project of PyTorch Udacity Scholarship Challenge

Aalto University CS-E4890 Deep Learning Project: Landmark Classification From Images Using Convolutional Deep Neural Networks

Collaborated with a developer to create a food image recognition system which classifies 101 categories of food and predicts the nutritional value of the classified food image using Convolutional Neural Network and TensorFlow.

This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.