1

Best deep CNN architectures and their principles: from AlexNet to EfficientNet

2

A journey into Optimization algorithms for Deep Neural Networks

3

How Transformers work in deep learning and NLP: an intuitive introduction

4

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly
How to learn Deep Learning in 2020

How to learn Deep Learning in 2020

Are you looking for a place to learn Deep Learning? In this collection of resources , you will find the most popular Deep Learning architectures and models used in Computer Vision, NLP and Reinforcement Learning

on Mar 29, 2020

Deep Learning Algorithms - The Complete Guide

Deep Learning Algorithms - The Complete Guide
The Best Machine Learning books to learn AI

The Best Machine Learning books to learn AI
Best Artificial Intelligence books to read

Best Artificial Intelligence books to read
Top 10 courses to learn Machine and Deep Learning (2020)

Top 10 courses to learn Machine and Deep Learning (2020)
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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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
Best deep CNN architectures and their principles: from AlexNet to EfficientNet

Best deep CNN architectures and their principles: from AlexNet to EfficientNet

How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?

Jan 21, 2021 CNN Computer Vision
A journey into Optimization algorithms for Deep Neural Networks

A journey into Optimization algorithms for Deep Neural Networks

An overview of the most popular optimization algorithms for training deep neural networks. From stohastic gradient descent to Adam, AdaBelief and second-order optimization
Jan 14, 2021 FNN CNN
How Transformers work in deep learning and NLP: an intuitive introduction

How Transformers work in deep learning and NLP: an intuitive introduction

An intuitive understanding on Transformers and how they are used in Machine Translation. After analyzing all subcomponents one by one such as self-attention and positional encodings , we explain the principles behind the Encoder and Decoder and why Transformers work so well
Dec 24, 2020 Natural Language Processing
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?
Dec 17, 2020 Software
Scalability in Machine Learning: Grow your model to serve millions of users

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

Follow along with a small AI startup on its journey to scale from 1 to millions of users. Learn what's a typical process to handle steady growth in the userbase, and what tools and techniques one can incorporate. All from a machine learning perspective
Dec 10, 2020 Software
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Intuitive Explanation of Skip Connections in Deep Learning 

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Graph Neural Networks - An overview

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