Hi guys, happy new year! Today we are going to implement the famous Vi(sion) T(ransformer) proposed in AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE.

Code is here, an interactive version of this article can be downloaded from here.

ViT is available on my new computer…

An interactive version is available here

All these blocks have been implemented in my library glasses

Keeping track of names in modern Deep Learning is hard. Today we’ll see different blocks used in modern CNN architecture such as ResNet, MobileNet, EfficientNet, and their implementation in PyTorch!

Before we do anything…

An interactive version of this article can be found here

DropBlock is available on glasses in my computer vision library!

Introduction

Today we are going to implement DropBlock in PyTorch! DropBlock introduced by Ghiasi et al is a regularization technique specifical crafter for images that empirically works better than Dropout. …

All the code can be found here. An interactive version of this article can be downloaded from here

Today we are going to use deep learning to create a face unlock algorithm. To complete our puzzle, we need three main pieces.

• a find faces algorithm
• a way to embed the…

All the code used in this article is here

Recently, PyTorch has introduced its new production framework to properly serve models, called torchserve.So, without further due, let’s present today’s roadmap:

1. Installation with Docker
2. Export your model
3. Define a handler
4. Serve our model

To showcase torchserve, we will serve a fully…

Today we are going to build a semantic browser using deep learning to search in more than 50k papers about the recent COVID-19 disease.

All the code is on my GitHub repo. While a live version of this article is here

The key idea is to encode each paper in…

A clean and simple template to kick start your next dl project 🚀🚀

The template is here

In this article, we present you a deep learning template based on Pytorch. This template aims to make it easier for you to start a new deep learning computer vision project with PyTorch. The main features are:

• modularity: we split each logic piece into a different…

Today we are going to implement the famous ResNet from Kaiming He et al. (Microsoft Research) in Pytorch. It won the 1st place on the ILSVRC 2015 classification task.

ResNet and all its variants have been implemented in my library glasses

Code is here, an interactive version of this article…