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Deepfakes: Face synthesis with GANs and Autoencoders

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GANs in computer vision - semantic image synthesis and learning a generative model from a single image

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GANs in computer vision - self-supervised adversarial training and high-resolution image synthesis with style incorporation

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GANs in computer vision - 2K image and video synthesis, and large-scale class-conditional image generation
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 29 March 2020

Intuitive Explanation of Skip Connections in Deep Learning 

Intuitive Explanation of Skip Connections in Deep Learning 
Deep Learning Algorithms - The Complete Guide

Deep Learning Algorithms - The Complete Guide
Graph Neural Networks - An overview

Graph Neural Networks - An overview
Decrypt Generative Adversarial Networks (GAN)

Decrypt Generative Adversarial Networks (GAN)
How to Generate Images using Autoencoders

How to Generate Images using Autoencoders

Learn what autoencoders are and build one to generate new images

on 09 September 2018

Document clustering

Document clustering

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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.

If you want to become a Machine Learning Expert, a Data Scientist or simply stay updated on the latest trends in the field, this is the blog for you.

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Deep Learning Algorithms - The Complete Guide

Deep Learning Algorithms - The Complete Guide
Top 10 courses to learn Machine and Deep Learning (2020)

Top 10 courses to learn Machine and Deep Learning (2020)
Trust Region and Proximal policy optimization (TRPO and PPO)
Reinforcement Learning

Trust Region and Proximal policy optimization (TRPO and PPO)

on

The idea behind Actor-Critics and how A2C and A3C improve them
Reinforcement Learning

The idea behind Actor-Critics and how A2C and A3C improve them

on

Unravel Policy Gradients and REINFORCE
Reinforcement Learning

Unravel Policy Gradients and REINFORCE

on

Latest Articles
Deepfakes: Face synthesis with GANs and Autoencoders

Deepfakes: Face synthesis with GANs and Autoencoders

A closer look on Deepfakes: face sythesis with StyleGAN, face swap with XceptionNet and facial attributes and expression manipulation with StarGAN

on 02 June 2020

GANs in computer vision - semantic image synthesis and learning a generative model from a single image

GANs in computer vision - semantic image synthesis and learning a generative model from a single image

The sixth article-series of GAN in computer vision - we explore semantic image synthesis and learning a generative model from a single image

on 26 May 2020

GANs in computer vision - self-supervised adversarial training and high-resolution image synthesis with style incorporation

GANs in computer vision - self-supervised adversarial training and high-resolution image synthesis with style incorporation

The fifth article-series of GAN in computer vision - we discuss self-supervision in adversarial training for unconditional image generation as well as in-layer normalization and style incorporation in high-resolution image synthesis.

on 10 May 2020

GANs in computer vision - 2K image and video synthesis, and large-scale class-conditional image generation

GANs in computer vision - 2K image and video synthesis, and large-scale class-conditional image generation

The fourth article-series of GAN in computer vision - we explore 2K image generation with a multi-scale GAN approach, video synthesis with temporal consistency, and large-scale class-conditional image generation in ImageNet.

on 03 May 2020

GANs in computer vision - Improved training with Wasserstein distance, game theory control and progressively growing schemes

GANs in computer vision - Improved training with Wasserstein distance, game theory control and progressively growing schemes

The third article-series of GAN in computer vision - we encounter some of the most advanced training concepts such as Wasserstein distance, adopt a game theory aspect in the training of GAN, and study the incremental/progressive generative training to reach a megapixel resolution.

on 22 April 2020

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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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