## Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 🌃🌅🎑

This repo contains the models and the notebook [on Image captioning with visual attention](https://www.tensorflow.org/tutorials/text/image_captioning?hl=en).

Full credits to TensorFlow Team

## Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
![image](https://www.tensorflow.org/images/surf.jpg)
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
![attention](https://www.tensorflow.org/images/imcap_prediction.png)
The model architecture is similar to [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://arxiv.org/abs/1502.03044).

This notebook is an end-to-end example. When you run the notebook, it downloads the [MS-COCO](https://cocodataset.org/#home) dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.

{"license": "cc0-1.0", "library_name": "generic", "tags": ["image-to-text", "generic"], "pipeline_tag": "image-to-text", "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-1.jpg", "example_title": "Kedis"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-2.jpg", "example_title": "Cat in a Crate"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-3.jpg", "example_title": "Two Cats Chilling"}]}
generic keras image-to-text arxiv:1502.03044 license:cc0-1.0 has_space region:us
TAGS
#generic #keras #image-to-text #arxiv-1502.03044 #license-cc0-1.0 #has_space #region-us 

## Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 

This repo contains the models and the notebook on Image captioning with visual attention.

Full credits to TensorFlow Team

## Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
!image
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
!attention
The model architecture is similar to Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

This notebook is an end-to-end example. When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.

## Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 

This repo contains the models and the notebook on Image captioning with visual attention.

Full credits to TensorFlow Team ## Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
!image
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
!attention
The model architecture is similar to Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

This notebook is an end-to-end example. When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.
TAGS
#generic #keras #image-to-text #arxiv-1502.03044 #license-cc0-1.0 #has_space #region-us 
 ## Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 

This repo contains the models and the notebook on Image captioning with visual attention.

Full credits to TensorFlow Team ## Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
!image
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
!attention
The model architecture is similar to Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

This notebook is an end-to-end example. When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.
passage: TAGS
#generic #keras #image-to-text #arxiv-1502.03044 #license-cc0-1.0 #has_space #region-us 
## Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 

This repo contains the models and the notebook on Image captioning with visual attention.

Full credits to TensorFlow Team## Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
!image
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
!attention
The model architecture is similar to Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

This notebook is an end-to-end example. When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.