deep reinforcement learning tutorial

convolutional Neural Network Primer (1) Original address : http://blog.csdn.net/hjimce/article/details/47323463 Author : HJIMCE convolutional Neural Network algorithm is an n-year-old algorithm, only in recent years because of deep learning related algorithms for the training of multi-layered networks to provide a new method, and now the computing power of the computer is not the same level of computing, an

Unsupervised learning Using generative adversarial Training and Clustering–authors:vittal Premachandran, Alan L. Yuille An information-theoretic Framework for Fast and robust unsupervised learning via neural Population Infomax–authors:wenta o Huang, Kechen Zhang Unsupervised Cross-domain Image generation–authors:yaniv Taigman, Adam Polyak, Lior Wolf Unsupervised perceptual Rewards for imitation

Toronto this year's deep learning courseware material):http://www.cs.toronto.edu/~rgrosse/csc321/calendar.htmlUFLDL Tutorial-ufldl (Stanford's deeplearning Introductory tutorial): Http://deeplearning.stanford.edu/wiki/index.php/UFLDL_TutorialDeep Learning Concise

similar to the dimensionality reduction) method. Maximum pooling divides the input image into overlapping image matrix blocks, and each sub-region outputs its maximum value. The two reasons why the maximum pooling method is very effective in the visual processing problem are:(1) Reduce the computational complexity of the upper level by reducing the non-maximum value.(2) The result of pooling supports translation invariance. In the convolution layer, each pixel point has 8 orientations that can

many problems do not have an intuitive physical meaning), so they can achieve better results in large-scale training data.. In addition, from the perspective of Pattern Recognition features and classifiers, the deep learning framework combines feature and classifier into a framework and uses data to learn feature, this reduces the workload of manually designing feature (which is the most effort by engineer

improvement, mainly around reducing network latency and more advanced resource management. In addition, we need to optimize the DBN framework so that communication between internal nodes can be reduced. The Hadoop yarn framework gives us more flexibility with the granular control of cluster resources.Resources[1] G. E. Hinton, S. osindero, and Y. Teh.A Fast Learning algorithm for deep belief nets. Neural c

times that of 1 GPU. This shows that their methods are effective. To make distributed deep learning on Hadoop clusters more efficient, they plan to continue to invest in Hadoop, Spark, and Caffe. Yahoo has published some of its code on GitHub. Interested readers can learn more. You may also like the following articles about Hadoop: Tutorial on standalone/pseudo-

train a neural network in your navigator based on Universal JavaScript. Karpathy also wrote a Convnetjs introductory tutorial, as well as a concise browser demo project.Nine, MXNet. From Cxxnet, Minerva, purine and other projects of the developer's hand, mainly in C + + written. MXNet emphasizes the efficiency of memory usage and even the task of running image recognition on smartphones.Ten, Neon. Nervana Systems, a startup company, open source this

This article will introduce you to the introduction of PS tutorials: I will teach you how to draw a deep and elegant beehive background. by learning this tutorial, you can easily create a variety of beautiful background images, if you are interested, let's take a look at the honeycomb colorful pattern we are going to learn today. The process is simple and you can

network in your navigator. Karpathy also wrote a Convnetjs introductory tutorial, as well as a concise browser demo project.Nine, MXNet. From Cxxnet, Minerva, purine and other projects of the developer's hand, mainly in C + + written. Mxnet emphasizes the efficiency of memory usage and even the task of running image recognition on smartphones.Ten, Neon. Nervana Systems, a startup company, open source this May, and in some benchmarks, neon, developed

Java" deep learning framework and the first commercial-level deep-learning open Source Library. Deeplearning4j, launched by Skymind in June 2014, uses DEEPLEARNING4J's many star companies such as Accenture, Chevrolet, and Bo's consulting and IBM.Deeplearning4j is a high-maturity,