Answers.Body: <p>Here are a couple of Kaggle Kernels, Notebooks and Tutorials for Image Captioning.</p>
  <ul>
  <li><p><a href="https://www.kaggle.com/sauravmaheshkar/neural-image-captioning" rel="nofollow noreferrer">Kaggle Kernel | Neural Image Captioning:  -&gt; </a></p>
  </li>
  <li><p><a href="https://www.kaggle.com/aritrag/show-attend-and-tell" rel="nofollow noreferrer">Kaggle Kernel | Show Attend and Tell</a></p>
  </li>
  <li><p><a href="https://www.kaggle.com/ratthachat/flickr-image-captioning-tpu-tf2-glove" rel="nofollow noreferrer">Kaggle Kernel | Flickr Image Captioning : TPU, TF2 &amp; Glove</a></p>
  </li>
  <li><p><a href="https://www.tensorflow.org/tutorials/text/image_captioning" rel="nofollow noreferrer">Tensorflow Tutorial | Image captioning with visual attention</a></p>
  </li>
  <li><p><a href="https://arxiv.org/pdf/1411.4555v2.pdf" rel="nofollow noreferrer">Show and Tell: A Neural Image Caption Generator by Vinyals et al.</a></p>
  </li>
  </ul>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-04-09T04:13:25.520Z
Answers.LastActivityDate: 2021-04-09T04:13:25.520Z
Answers.UserDisplayName: Saurav Maheshkar
Body: <p>I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, came here for a guidance.  I am looking to build a personal project on image annotations. Also, if I wanted to use this deep learning model together with TFX pipeline, what would be the best type of architecture I can go with?</p>
  
Tags: <deep-learning><convolutional-neural-networks><state-of-the-art><text-generation><model-request>
Title: What would be the state of the art image captioning deep learning model?
UserDisplayName: Joe
ThreadText: # What would be the state of the art image captioning deep learning model?
  
  (Asked by: username_0 on 2021-04-08)
  
  I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, came here for a guidance. I am looking to build a personal project on image annotations. Also, if I wanted to use this deep learning model together with TFX pipeline, what would be the best type of architecture I can go with?
  
  **Tags:** deep-learning, convolutional-neural-networks, state-of-the-art, text-generation, model-request
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2021-04-09. Score: 0 | Accepted answer
  
  Here are a couple of Kaggle Kernels, Notebooks and Tutorials for Image Captioning.
  
  * [Kaggle Kernel | Neural Image Captioning: ->](https://www.kaggle.com/sauravmaheshkar/neural-image-captioning)
  * [Kaggle Kernel | Show Attend and Tell](https://www.kaggle.com/aritrag/show-attend-and-tell)
  * [Kaggle Kernel | Flickr Image Captioning : TPU, TF2 & Glove](https://www.kaggle.com/ratthachat/flickr-image-captioning-tpu-tf2-glove)
  * [Tensorflow Tutorial | Image captioning with visual attention](https://www.tensorflow.org/tutorials/text/image_captioning)
  * [Show and Tell: A Neural Image Caption Generator by Vinyals et al.](https://arxiv.org/pdf/1411.4555v2.pdf)
  
  
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