openai language

OpenAI Gym is a toolkit for developing and comparing RL algorithms that is compatible with other numerical computing libraries, such as TensorFlow or Theano libraries. The Python language is now primarily supported and will be supported in other

Happy New Year! This is a collection of key points of AI and deep learning in 2017, and ai in 2017RuO puxia Yi compiled from WILDMLProduced by QbitAI | public account QbitAI 2017 has officially left us. In the past year, there have been many records

1. Language Model 2. Attention is all you need (transformer) Principle Summary 3. Elmo parsing 4. openai GPT parsing 5. Bert parsing 1. Preface Before this article, we have already introduced two successful models of Elmo and GPT. Today we will

first, deep reinforcement learning of the bubbleIn 2015, DeepMind's Volodymyr Mnih and other researchers published papers in the journal Nature Human-level control through deep reinforcement learning[1], This paper presents a model deep q-network

This blog is reproduced from a blog post, introduced Gan (generative adversarial Networks) that is the principle of generative warfare network and Gan's advantages and disadvantages of analysis and the development of GAN Network research. Here is

Why Study Reinforcement Learning Reinforcement Learning is one of the fields I ' m most excited about. Over the past few years amazing results like learning to play Atari Games from Raw Pixelsand Mastering the Game of Go have Gotten a lot of

Why Study Reinforcement Learning Reinforcement Learning is one of the fields I ' m most excited about. Over the past few years amazing results like learning to play Atari Games from Raw Pixelsand Mastering the Game of Go have Gotten a lot of

Deep learning, a prominent topic in the field of artificial intelligence, has been concerned for quite a long time. It is a concern because of breakthroughs in the areas of computer vision (computer vision) and gaming (Alpha GO) that transcend human

This article collects a large number of code links based on Pytorch implementations, including "Getting Started" series for beginners in depth learning, and paper code implementations for older drivers, including Attention Based CNN, A3C, Wgan, and

TensorFlow is an open source software library that uses data flow diagrams for numerical calculations. In other words, that's the best way to build a deep learning model. This article collates some excellent tutorials and a list of projects on