Articles

Getting Started With OpenAI Gym: Creating Custom Gym Environments
This post covers how to implement a custom environment in OpenAI Gym. As an example, we implement a custom environment that involves flying a Chopper (or a helicopter) while avoiding obstacles mid-air.
The Machine Learning Practitioner's Guide to Reinforcement Learning: Overview of the RL Universe
In this post, we describe the anatomy of how most Deep Reinforcement Learning algorithms work. We also cover the motivation to use RL over standard machine learning, On-Policy v/s Off-Policy learning, the Exploration-Exploitation Tradeoff, and many more important RL concepts.
Advanced Recurrent Neural Networks: Bidirectional RNNs
This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, their applications, and how to bring the models to life using Keras.

How to Train a Scaled-YOLOv4 Object Detection Model
In this blog, we will show an example of how to train and generalize Scaled-YOLOv4 on your custom dataset to detect custom objects.