Deep Learning for Multimodal Image Retrieval you own this product

intermediate Python • beginner PyTorch • basic neural networks, computer vision, and natural language processing
skills learned
train a Word2vec word representation method • train a CNN with PyTorch • compute similarities between words and images
Raul Gomez
3 weeks · 8-10 hours per week · ADVANCED

placing your order...

Don't refresh or navigate away from the page.
liveProject liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $39.99
Deep Learning for Multimodal Image Retrieval (liveProject) added to cart
continue shopping
adding to cart

choose your plan


only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Deep Learning for Multimodal Image Retrieval project for free
Look inside
Have you ever spent too long scrolling through your photos to find that one picture you know you took? In this liveProject, you’ll solve that problem—with the power of deep learning!

Your challenge is to create a working image retrieval system that can search images based on text queries: type in ‘dog’ and you’ll get pictures of dogs. You’ll combine cutting-edge natural language processing and computer vision techniques, exploit semantic word representation methods, and train a neural network on social media data using image captions as annotations. This liveProject will develop your skills with PyTorch, and be an impressive piece for your data science portfolio.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Raul Gomez
Raúl Gómez studied telecommunications engineering at UPC and did a computer vision master at UAB (Computer Vision Center), followed by a PhD. He has published in top computer vision conferences and runs a popular blog where he disseminates his research and writes about general machine learning topics (


This liveProject is for accomplished (intermediate) Python programmers who have developed basic neural networks and are comfortable setting up a training environment for machine learning. To begin this liveProject you will need to be familiar with:

  • Intermediate Python
  • Beginner PyTorch
  • Basics of machine learning
  • Basics of computer vision
  • Basics of natural language processing
  • Basics of neural networks
  • Setting up a neural network training environment

you will learn

In this liveProject, you’ll learn how to extend deep concepts to both natural language processing and computer vision. You’ll develop experience with both PyTorch and deep learning libraries, and extend them to achieve nonstandard tasks.

  • Train a Word2Vec word representation method with custom data
  • Customize and train a CNN with PyTorch
  • Compute similarities between words and images given their embeddings


You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.