Pytorch Image Captioning Tutorial

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=y2BaTt1fxJU

In this tutorial we go through how an image captioning system works and implement one from scratch. Specifically we're looking at the caption dataset Flickr8k. There are multiple ways to improve the model: train a larger model (the one used is relatively small), train for longer and improve the model by adding attention similar to this paper: https://arxiv.org/abs/1502.03044. • ❤️ Support the channel ❤️ • / @aladdinpersson • Paid Courses I recommend for learning (affiliate links, no extra cost for you): • ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt • ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI • 📘 MLOps Specialization http://bit.ly/3wibaWy • 📘 GAN Specialization https://bit.ly/3FmnZDl • 📘 NLP Specialization http://bit.ly/3GXoQuP • ✨ Free Resources that are great: • NLP: https://web.stanford.edu/class/cs224n/ • CV: http://cs231n.stanford.edu/ • Deployment: https://fullstackdeeplearning.com/ • FastAI: https://www.fast.ai/ • 💻 My Deep Learning Setup and Recording Setup: • https://www.amazon.com/shop/aladdinpe... • GitHub Repository: • https://github.com/aladdinpersson/Mac... • ✅ One-Time Donations: • Paypal: https://bit.ly/3buoRYH • ▶️ You Can Connect with me on: • Twitter - / aladdinpersson • LinkedIn - / aladdin-persson-a95384153 • Github - https://github.com/aladdinpersson • • OUTLINE: • 0:00 - Introduction • 0:12 - Explanation of Image Captioning • 05:15 - Overview of the code • 06:07 - Implementation of CNN and RNN • 20:03 - Setting up the training • 30:36 - Fixing errors • 32:18 - Small evaluation and ending

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