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Python deep learning guide

Deep learning is a prominent topic in the AI field. it has been around for a long time. It has received much attention because it has made breakthroughs beyond human capabilities in computer vision (ComputerVision) and AlphaGO. Since the last investigation, attention to deep learning has increased significantly.

Deep Learning Neural Network (Cnn/rnn/gan) algorithm principle + actual combat

The 1th chapter introduces the course of deep learning, mainly introduces the application category of deep learning, the demand of talents and the main algorithms. This paper introduces the course chapters, the course arrangement, the applicable crowd, the prerequisites and the degree to be achieved after the completio

Machine & Deep Learning overview

This section begins the Basic theory system learning phase of machine learning and deep learning, and the blog content is the notes that are collated during the learning process.1. Machine learningConcept: Multi-disciplinary interdisciplinary, involving probability theory, s

How Yahoo implements large-scale distributed deep learning on Hadoop Clusters

How Yahoo implements large-scale distributed deep learning on Hadoop Clusters Over the past decade, Yahoo has invested a lot of energy in the construction and expansion of Apache Hadoop clusters. Currently, Yahoo has 19 Hadoop clusters, including more than 40 thousand servers and over Pb of storage. They developed large-scale machine learning algorithms on these

Evaluation and comparison of deep learning framework

Turn from deep learning public numberThis article is from: InfoQHttp://www.infoq.com/cn/news/2016/01/evaluation-comparison-deep-learnArtificial intelligence is undoubtedly the forefront of the computer world, and deep learning is undoubtedly the focus of artificial intellige

Evaluation and comparison of deep learning framework

Article source:http://www.infoq.com/cn/news/2016/01/evaluation-comparison-deep-learn?utm_campaign=infoq_content Evaluation and comparison of deep learning frameworkArtificial intelligence is undoubtedly the forefront of the computer world, and deep learning is undoubtedly th

10 Open-source deep learning frameworks worth a try

IT168 commented on Google's Open source TensorFlow (GitHub) Earlier this week, a move that has had a huge impact in deep learning because Google has a strong talent pool in the field of AI research, And Google's own Gmail and search engines are using deep learning tools that are developed on their own.

Ten open source frameworks that deserve our deep learning

Google Open source TensorFlow (GitHub) Earlier this week, a move that has a huge impact on deep learning because Google has a strong talent pool, and Google's own Gmail and search engines are using a self-developed deep learning tool.Undoubtedly, the TensorFlow from the Google arsenal is necessarily the star of the ope

Pedestrian Detection Deep Learning Chapter

Shang Xu June, human body behavior recognition based on Deep learning J Wuhan University Journal 2016414492-497 Introduction Behavior Recognition Overall process Foreground extraction Behavior Recognition Process Experimental analysis Computer Engineering and application of pedestrian detection based on deep convolutio

The Promise of deep learning

The Promise of deep learningby Yoshua BengioHumans has a long dreamed of creating machines that think. More than years before the first programmable computer is built, inventors wondered whether devices made of rods and Gears might become intelligent. And when Alan Turing, one of the pioneers of computing in the 1940s, set a goal for computer science, he described a test, Later dubbed the Turing Test, which measured a computer ' s performance against

Adam of Deep Learning optimization method

This article is the Adam method for the Deep Learning series article. The main reference deep Learning book. Complete list of optimized articles: Optimal method of Deep Learning SGD Deep

Deep learning-Start with the code

Preface At present, deep learning to grab enough eyeballs and attention, from the layout of major companies, to the springing out of a wave of start-up companies, and then to all kinds of popularization, in-depth analysis of the relevant public number, every day there are a large number of technology, paper interpretation related articles, blogs, etc., a variety of information such as flooding into our vis

A review of deep learning and its application in speech processing

1. Preface AI is a current hot topic, from the current Google's Alphago to smart cars, artificial intelligence has entered all aspects of our lives. Machine learning is a method of implementing artificial intelligence, which uses algorithms to analyze data, then learn from it, and finally make predictions and decisions about reality. Deep learning, however, is a

Deep Learning-A classic network of convolutional neural Networks (LeNet-5, AlexNet, Zfnet, VGG-16, Googlenet, ResNet)

used in the Googlenet V2.4, Inception V4 structure, it combines the residual neural network resnet.Reference Link: http://blog.csdn.net/stdcoutzyx/article/details/51052847Http://blog.csdn.net/shuzfan/article/details/50738394#googlenet-inception-v2Seven, residual neural network--resnet(i) overviewThe depth of the deep learning Network has a great impact on the final classification and recognition effect, so

How to learn Python deep learning?

Python must be familiar to us, Python's development has brought a wave of learning python, smart people have already seen this development of a good time to start learning python, then I would like to ask you know what is Python deep learning? Do not understand, that let small make up for you to popularize this Knowled

Solving bongard problems with deep learning

Yun-June Guide : This article introduces deep learning and bongard problems, and how to use deep learning to better solve bongard problems. The Bongard problem was proposed by Soviet computer scientist Mikhail Bongard. Since the 1960s, he has been working on pattern recognition, and has designed 100 such puzzles to ma

Application of deep learning--detection of diabetic retinopathy

Recently, Google published in the Journal of the American Medical Council titled "Development and Validation of a deep learning algorithm for Detection of diabetic retinopathy in Reti NAL Fundus Photographs "is a deep learning algorithm that Google researchers have put forward to explain the signs of diabetic retinopat

Deep Learning Popular Science

First, it's up to the father of Ai, Turing. Turing once had a dream uninstall "computer and Intelligence" (1950) article, if one day, the computer can do, across the wall, you do not know the opposite and you communicate is a person or computer, then this computer has artificial intelligence. For the next half century, Ai has not developed much. Although the computer has the powerful memory and the data processing ability, but does not have the human cognition ability. For example, Wang, Meo

Understanding Point OpenAI and the frontier of deep learning research

most important thing to know about OpenAI is to understand the frontiers of AI research.What is the research direction of Ai's frontier?OpenAI raised three points:-Training Generative Models-Algorithms for inferring algorithms from data-New approaches to reinforcement learningSo what do these three categories represent, respectively?Deep generative ModelsThe first type is oriented to the generation model, the main task is to generate new information,

Deep Learning (Bengio) First chapter reading notes

feature algorithms, our goal is usually to isolate the variables that explain the observed data.Deep learning allows a computer to construct complex concepts through simpler concepts. (The examples in the comparison book can be understood clearly)The idea of learning the correct representation of data is a point of view for explaining deep

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