Best deep CNN architectures and their principles: from AlexNet to EfficientNet
How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?
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
Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly
What is Kubernetes? What are the basic principles behind it? Why it might be the best option to deploy Machine Learning applications? What features it provides to help us maintain and scale our infrastructure? How to set up a simple Kubernetes cluster in Google cloud?