deep learning atari

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1

7 mins version:dqn for Flappy Bird Overview This project follows the description of the "Deep Q Learning algorithm described" Playing Atari with deep reinforcement L Earning [2] and shows that this learning algorithm can is further generalized to the notorious Flappy Bird. i

Paddlepaddle is Baidu Open source of a deep learning framework, according to its official website of the document used to learn.This article describes its installation.-Operating systemThe official website document uses the operating system is ubunt14.04, I use is the VMware Workstation player installs the Ubuntu virtual machine, it and redhat some different, but the configuration is troublesome, the DNS co

Deep Learning thesis note (7) Deep network high-level feature Visualization Zouxy09@qq.com Http://blog.csdn.net/zouxy09 I have read some papers at ordinary times, but I always feel that I will slowly forget it after reading it. I did not seem to have read it again one day. So I want to sum up some useful knowledge points in my thesis. On the one hand, my underst

1. A series of articles about getting started with DQN:DQN from getting started to giving up2. Introductory Paper2.1 Playing Atariwith a deep reinforcement learning DeepMind published in Nips 2013, the first time in this paper Reinforcement learning this name, and proposed DQN (deep q-network) algorithm, realized from

Deep learning and shallow learningAs the deep learning now in full swing, in various fields gradually occupy the status of State-of-the-art, last semester in a course project in the deep learning the effect, Recently, when I was d

This section describes how to use building deep networks for classification in http://deeplearning.stanford.edu/wiki/index.php/ufldl_tutorial.pdf. Divided into the following two parts: 　　1. From Self-taught to deep networks: From the previous introduction to self-taught Learning (Deep

Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a

Deep learning of wheat-machine learning Algorithm Advanced StepEssay background: In a lot of times, many of the early friends will ask me: I am from other languages transferred to the development of the program, there are some basic information to learn from us, your frame feel too big, I hope to have a gradual tutorial or video to learn just fine. For

1. Research background and rationale 1958, Rosenblatt proposed Perceptron model (ANN)In 1986, Hinton proposed a deep neural network with multiple hidden layers (MNN)In the 2006, Hinton Advanced Confidence Network (DBN), which became the main frame of deep learning.Then, the efficiency of this algorithm is validated by Bengio Experiment 2.3 classes of depth learning