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. What is LSTM? LSTM stands for Long short-term memory, they are a type of RNN (recurrent neural network) that is well suited for sequence prediction problems. Based on the previous text, we can predict what the next word will be. It has proven itself effective from the traditional RNN by overcoming the limitations of RNN which had short-term memory. LSTM can carry out relevant information throughout the processing of inputs and with a forget gate, it discards non-relevant information. This Python Project Using CNN and LSTM also include a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading. By the way, if you are new to python programming and you don’t know what would be the Python IDE to use, I have here a list of the Best Python IDE for Windows, Linux, Mac OS that will suit you. I also have here How to Download and Install the Latest Version of Python on Windows. To start executing Image Caption Generator with CNN & LSTM In Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer. In this advanced Python project, we have implemented a CNN-RNN model by building an image caption generator. Some key points to note are that our model depends on the data, so, it cannot predict the words that are out of its vocabulary. We used a small dataset consisting of 8000 images. For production-level models, we need to train on datasets larger than 100,000 images which can produce better accuracy models. If you have any questions or suggestions about Image Caption Generator with CNN & LSTM In Python With Source Code, please feel free to leave a comment below.