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Bengio, LeCun, Jordan, Hinton, Schmidhuber, Ng, de Freitas and OpenAI had done Reddit AMA's. These is nice places-to-start to get a zeitgeist of the field.Hinton and Ng lectures at Coursera, UFLDL, cs224d and cs231n at Stanford, the deep learning course at udacity, and the sum Mer School at IPAM has excellent tutorials, video lectures and programming exercises that should help you get STARTED.NB Sp The onli

Source: http://wanghaitao8118.blog.163.com/blog/static/13986977220153811210319/Google's deep-mind team published a bull X-ray article in Nips in 2013, which blinded many people and unfortunately I was in it. Some time ago collected a lot of information about this, has been lying in the collection, is currently doing some related work (want to have a small partner to communicate).First, related articlesOn the DRL, this aspect of the work should be with

the following characteristics:1. It is best suited for applications with the following characteristics: The Set size is usually kept small, read-only operations are much more than the variable operation, and there is a need to prevent conflicts between threads during traversal.2. It is thread safe.3. Because it is often necessary to replicate the entire base array, the overhead of a volatile operation (add (), set (), and remove (), and so on) is significant.4. Iterators support Hasnext (), Nex

This is a creation in Article, where the information may have evolved or changed. The concept of deep learning has been very hot in recent years, and we are fortunate to have caught up with and witnessed the rise of this wave. Remember the 2012 before the mention of deep learning, most people are not familiar with, and

Preface: Today just heard a talk about Extreme learning Machine (Super limited learning machine), the speaker is Elm Huangguang Professor . The effect of elm is naturally much better than the SVM,BP algorithm. and relatively than the current most fire deep learning, it has a great advantage: the operation speed is ve

Deep learning "engine" contention: GPU acceleration or a proprietary neural network chip?Deep Learning (Deepin learning) has swept the world in the past two years, the driving role of big data and high-performance computing platform is very important, can be described as

Machine learning Types Machine Learning Model Evaluation steps Deep Learning data Preparation Feature Engineering Over fitting General process for solving machine learning problems Machine Learning Four Br

Turn from 70271574AI (AI) is the future, is science fiction, is part of our daily life. All the assertions are correct, just to see what you are talking about AI in the end.For example, when Google DeepMind developed the Alphago program to defeat the Korean professional Weiqi master Lee Se-dol, the media in the description of the victory of DeepMind used AI, machine learning, deep

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 capabilities. Since the last survey, there has been a significant increase in attention to deep

Deep learning part of the direction of Paper, for personal use.a RNN1 Recurrent neural network based language modelThe RNN used in the language model2 statistical Language Models Based on neural NetworksMikolov's doctoral dissertation, which focuses his work on the language model of RNN in tandem3 Extensions of recurrent neural Network Language ModelContinuation of the RNN, some improvements in the network,

This article refers to http://blog.csdn.net/zdy0_2004/article/details/43896015 translation and the original file:///F:/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9% A0/recommending%20music%20on%20spotify%20with%20deep%20learning%20%e2%80%93%20sander%20dieleman.htmlThis article is a blog post by Dr. Sander Dieleman, Reservoir Lab Laboratory at the University of Ghent (Ghent University) in Belgium, where his research focuses on the classification of Music audio signals and the recommended hierarchical charac

He admired the bronze teacher for a long time, and when he learned that he had written a book on learning methods, "The art of deep learning", he bought the first ebook I paid for in my life on the Amazon China website.This reading note is not exactly in accordance with the original book narrative sequence excerpt, but through my modification and collation.Readin

Contact Way: 860122112@qq.com DQN (Deep q-learning) is a mountain of deep reinforcement learning (Deep reinforcement LEARNING,DRL), combining deep