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The secrets behind Reinforcement Learning

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

Decrypt Generative Adversarial Networks (GAN)

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

How to Generate Images using Autoencoders

Learn what autoencoders are and build one to generate new images

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

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

Deep Learning Algorithms - The Complete Guide

All the essential Deep Learning Algorithms you need to know including models use...

The Best Machine Learning books to learn AI

Machine Learning books - The ultimate list

Best Artificial Intelligence books to read

Artificial Intelligence and Machine Learning non fiction books - The ultimate list

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

Machine Leaning Courses - The ultimate list

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