AI Summer

How to Generate Images using Autoencoders

Learn what autoencoders are and build one to generate new images

Decrypt Generative Adversarial Networks (GAN)

What's the difference of generative and discriminative models and what is a GAN

The secrets behind Reinforcement Learning

The central idea behind reinforcement learning and an overview of its algorithms

Semantic Segmentation in the era of Neural Networks

Semantic segmentation with deep learning

Graph Neural Networks - An overview

How Neural Networks can be used in graph data

YOLO - You only look once (Single shot detectors)

Single shot detectors and how YOLO is used for object detection and localization

Localization and Object Detection with Deep Learning

Explain RCNN, Fast RCNN and Faster RCNN

Trust Region and Proximal policy optimization (TRPO and...

Trust Region policy optimization vs Proximal policy optimization

The idea behind Actor-Critics and how A2C and A3C impro...

Actor critics, A2C, A3C

Unravel Policy Gradients and REINFORCE

Explore Policy-based methods and dive into policy gradients

Q-targets, Double DQN and Dueling DQN

Fixed Q-targets, Double DQN, Dueling DQN, Prioritized Replay

Deep Q Learning and Deep Q Networks

Learn what Q Learning is and build a Deep Q Network to play games

GANs in computer vision - Improved training with Wasser...

The third article-series of GAN in computer vision - we encounter some of the mo...

GANs in computer vision - 2K image and video synthesis,...

The fourth article-series of GAN in computer vision - we explore 2K image genera...

GANs in computer vision - Conditional image synthesis a...

The second article of the GANs in computer vision series - looking deeper in gen...

GANs in computer vision - Introduction to generative le...

The first article of the GANs in computer vision series - an introduction to gen...

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