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Udacity CVND Image Captioning Project

Udacity Computer Vision Nanodegree Image Captioning Project

Introduction

The repository contains a neural network, which can automatically generate captions from images.

Network Architecture

The solution architecture consists of:

  1. CNN encoder, which encodes the images into the embedded feature vectors: image
  2. Decoder, which is a sequential neural network consisting of LSTM units, which translates the feature vector into a sequence of tokens: image

Results

These are some of the outputs give by the network using the COCO dataset: example1 example2

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