MobileNeXT (ECCV 2020)
In this article, we'll dive into an in-depth discussion of a recently proposed revamping of the popular MobileNet architecture, namely MobileNeXt, published at ECCV 2020.
In this article, we'll dive into an in-depth discussion of a recently proposed revamping of the popular MobileNet architecture, namely MobileNeXt, published at ECCV 2020.
This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, applications, and how to bring them to life using Keras.
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.
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.