Understanding the receptive field of deep convolutional networks
An intuitive guide on why it is important to inspect the receptive field, as well as how the receptive field affect the design choices of deep convolutional networks.
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
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
Trust Region and Proximal policy optimization (TRPO and PPO)
Trust Region policy optimization vs Proximal policy optimization
Logging and Debugging in Machine Learning - How to use Python debugger and the logging module to find errors in your AI application
A guide on how to debug machine learning code and how to use logs to catch errors in production (including a set of useful Tensorflow functions to make your debugging life easier)
