Posts tagged "Deep Learning"

How to give sight to a blind language model

Get a good technical understanding of how vision-language models are built and trained.

Bayesian neural networks (BNNs) is a pioneering approach that embraces uncertainty as a strength.

Understand why multimodal deep learning models are more accurate than assembled unimodal models.

In this last part, we outline the key learnings from this project, including key paths to success and common pitfalls to avoid.

In this Part IV we explore the MMM methodology applied.

In this Part III we explore the methodology for using Tesseract to detect text in creative images.

In this Part II we explore the methodology for training Detectron2 models to detect brand-specific object in creative images.

In this Part I we explore the methodology for using pre-trained Detectron2 models to detect brand-specific object in creative images.

Enhance your knowledge on Deep Learning techniques by understanding what neural ODEs are and how we could benefit from them.