AI Summer

Decrypt Generative Adversarial Networks (GAN)

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

Top 10 courses to learn Machine and Deep Learning (2020)

Machine Leaning Courses - The ultimate list

How to get hired as a Machine Learning Engineer

7 steps to land a Machine Learning Engineer Job

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

Semantic Segmentation in the era of Neural Networks

Semantic segmentation with deep learning

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

The secrets behind Reinforcement Learning

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

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

Trust Region policy optimization vs Proximal policy optimization

GANs in computer vision - self-supervised adversarial t...

The fifth article-series of GAN in computer vision - we discuss self-supervision...

GANs in computer vision - semantic image synthesis and ...

The sixth article-series of GAN in computer vision - we explore semantic image s...

Deepfakes: Face synthesis with GANs and Autoencoders

A closer look on Deepfakes: face sythesis with StyleGAN, face swap with Xceptio...

Deep Learning in Production: Laptop set up and system d...

An article course on how to write and deploy deep learning systems in production...

Best practices to write Deep Learning code: Project str...

A deep learning python project template, object oriented techniques such as abst...

How to Unit Test Deep Learning: Tests in TensorFlow, mo...

Explore unit testing in tensorflow code using tf.test(), mocking and patching ob...

Understanding the receptive field of deep convolutional...

An intuitive guide on why it is important to inspect the receptive field, as wel...

Logging and Debugging in Machine Learning - How to use ...

A guide on how to debug machine learning code and how to use logs to catch error...

Understanding coordinate systems and DICOM for deep lea...

Multiple introductory concepts regarding deep learning in medical imaging, such ...

Data preprocessing for deep learning: How to build an e...

How to develop high performance input pipelines in Tensorflow using the ETL patt...

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

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

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