Image Caption Generator CNN & LSTM in Python with Source Code | Python Projects with Source Code

Image Caption Generator CNN & LSTM in Python with Source Code | Python Projects with Source Code Subscribe here for More Source code & tutorials: https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ LIKE our FB PAGE: https://www.facebook.com/itsourcecode Official Website: https://itsourcecode.com/​​​​​​​​​​​​​​​ Download the complete source code here: https://bit.ly/2Rg7nYL Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Song: Ikson - Sunny (Vlog No Copyright Music) Music promoted by Vlog No Copyright Music. Intro made by Prince Ly Cesar The Image Caption Generator with CNN & LSTM In Python was developed using Python Programming with CNN and LSTM. This Project is to learn the concepts of a CNN and LSTM model and build a working model of an Image caption generator by implementing CNN with LSTM. An Image Caption Generator In python we will be implementing the caption generator using CNN (Convolutional Neural Networks) and LSTM (Long short term memory). The image features will be extracted from Xception which is a CNN model trained on the imagenet dataset and then we feed the features into the LSTM model which will be responsible for generating the image captions. What is CNN? Convolutional Neural Networks are specialized deep neural networks that 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. CNN is basically used for image classifications and identifying if an image is a bird, a plane, or Superman, etc. It scans images from left to right and top to bottom to pull out important features from the image and combines the feature to classify images. It can handle the images that have been translated, rotated, scaled, and changes in perspective.