The document discusses an image caption generator project using CNN and LSTM submitted by Masum Ahmed. It explains the roles of convolutional neural networks in processing images and long short-term memory networks in sequence prediction. The project utilizes a dataset of 8000 images, with 6000 for training and a vocabulary size of 7577.

1. Submitted By
Masum Ahmed
Reg No: 2016331028,
CSE, SUST
Image Caption Generator with
CNN and LSTM
Submitted To
Dr Md Forhad Rabbi
Associate Professor,
CSE, SUST

2. What is Image
Caption Generator?
Image caption generator is a task that
involves computer vision and natural
language processing concepts to
recognize the context of an image and
describe them in a natural language like
English.

3. Image Caption Generator Model
1 CNN
LSTM
2

4. Image Caption Generator Model

5. What is CNN?
Convolutional Neural networks
are specialized deep neural
networks which can process the
data that has input shape like a 2D
matrix. Images are easily
represented as a 2D matrix and
CNN is very useful in working
with images.

6. Working on deep CNN

7. What is LSTM?
LSTM stands for Long short term
memory, they are a type of RNN, which is
well suited for sequence prediction
problems. LSTM can carry out relevant
information throughout the processing of
inputs and with a forget gate, it discards
non-relevant information.

8. LSTM cell structure

9. Dataset
Total
8000
Train
6000
Vocabulary
size
7577

10. Visual representation of the final model

11. Result