Image Captioning using Convolutional and Recurrent Neural NetworK

Gourav Roy (~gourav31)


Description:

Image Captioning refers to the process of generating a textual description from an image – based on the objects and actions in the image. <br />
Outline<br />
1 What does an Image Captioning Problem entail?<br />
2 Methodology to Solve the Task - includes data-preprocessing and details about how CNN and RNN will be used as an encoder and decoder <br />
3 Walkthrough of Implementation<br />
4 Conclusion: Where to go next - Will be telling about how to improve the code to get greater results.<br />
5 Sharing resources.

Prerequisites:

1.Basic Knowledge of Linear Programming<br />
2.Good Knowledge of python<br />
3.Basics of Convolutional Network and Recurrent Neural Network<br />

Content URLs:

Slide Link<br />

Speaker Info:

I am a Data Science Enthusiast and studying in third year in BITS Pilani Goa Campus .

Speaker Links:

Github<br />
Linkedin<br />

Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Intermediate
Last Updated: