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How Positional Embeddings work in Self-Attention (code in Pytorch)

2

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels

3

Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch

4

The theory behind Latent Variable Models: formulating a Variational Autoencoder
Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

What is Kubernetes? What are the basic principles behind it? Why it might be the best option to deploy Machine Learning applications? What features it provides to help us maintain and scale our infrastructure? How to set up a simple Kubernetes cluster in Google cloud?

on Dec 17, 2020

Scalability in Machine Learning: Grow your model to serve millions of users

Scalability in Machine Learning: Grow your model to serve millions of users
How to use Docker containers and Docker Compose for Deep Learning applications

How to use Docker containers and Docker Compose for Deep Learning applications
How to use uWSGI and Nginx to serve a Deep Learning model

How to use uWSGI and Nginx to serve a Deep Learning model
Deploy a Deep Learning model as a web application using Flask and Tensorflow

Deploy a Deep Learning model as a web application using Flask and Tensorflow

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Until now we were during the so called AI Winter, an era with no Artificial Intelligence breakthroughs and advancements. But no more. AI Summer is coming.

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Articles topics
GANs in computer vision - Introduction to generative learning
Generative Learning

GANs in computer vision - Introduction to generative learning

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Deep Learning Algorithms - The Complete Guide
Education

Deep Learning Algorithms - The Complete Guide

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Trust Region and Proximal policy optimization (TRPO and PPO)
Reinforcement Learning

Trust Region and Proximal policy optimization (TRPO and PPO)

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Latest Articles
How Positional Embeddings work in Self-Attention (code in Pytorch)

How Positional Embeddings work in Self-Attention (code in Pytorch)

Understand how positional embeddings emerged and how we use the inside self-attention to model highly structured data such as images
Feb 25, 2021 Natural Language Processing
Introduction to medical image processing with Python: CT lung and vessel segmentation without labels

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels

Find out the basics of CT imaging and segment lungs and vessels without labels with 3D medical image processing techniques.
Feb 18, 2021 Computer Vision Medical
Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch

Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch

Learn about the einsum notation and einops by coding a custom multi-head self-attention unit and a transformer block
Feb 11, 2021 Computer Vision Natural Language Processing
The theory behind Latent Variable Models: formulating a Variational Autoencoder

The theory behind Latent Variable Models: formulating a Variational Autoencoder

Explaining the mathematics behind generative learning and latent variable models and how Variational Autoencoders (VAE) were formulated (code included)
Feb 04, 2021 Unsupervised Learning Generative Learning
How the Vision Transformer (ViT) works in 10 minutes: an image is worth 16x16 words

How the Vision Transformer (ViT) works in 10 minutes: an image is worth 16x16 words

In this article you will learn how the vision transformer works for image classification problems. We distill all the important details you need to grasp along with reasons it can work very well given enough data for pretraining.
Jan 28, 2021 Computer Vision
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Intuitive Explanation of Skip Connections in Deep Learning 

Intuitive Explanation of Skip Connections in Deep Learning 
Graph Neural Networks - An overview

Graph Neural Networks - An overview
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