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Deep learning and Growing pains

Deep learning and Growing pains"Editor 's note" Although deep learning has a great effect on the current development of AI, deep learning workers are not smooth sailing. Chris Edwards, published in the Communications of the ACM ar

Deep learning Learning (b) Matalab operation of linear regression

(theta0_vals, theta1_vals, j_vals)%draw an image of the parameter and the loss function. Pay attention to using this surf to compare the egg ache, surf (x, y, z) is this,Wuyi%x,y is a vector, Z is a matrix, a mesh made of X, Y ( -*100 points) with each point of Z the% to form a graph, but how does it correspond, where the egg hurts is that the second element of your x and the first element of y are formed by the point Not and Z (2,1) value corresponds!! -% but and Z (1,2) corresponding!! Becau

Deep learning Reading List

This article is from: Http://jmozah.github.io/links/Following is a growing list of some of the materials I found on the web for deep Learni ng Beginners. Free Online Books Deep learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and deep learn

2018AI Artificial Intelligence basic Combat Python machine deep learning algorithm video tutorial

understand computer knowledge, psychology and philosophy. Artificial intelligence consists of a very wide range of sciences, consisting of a variety of fields, such as machine learning, computer vision, and so on, in general, one of the main goals of AI research is to make machines capable of doing complex work that normally requires human intelligence. But different times, different people's understanding of this "complex work" is different. In Dece

Deep Learning JS Node

Deep Learning JS NodeDOM (model)All the nodes in the HTML document make up a document tree model,Every element, attribute, text, and so on in an HTML document represents a treeA node. These nodes are interconnected and affect each other to form aThe complete page we call the model.Each component in an HTML document is a node.? The entire document is a document node? Each HTML tag is an element node? Text th

Deep Learning: It can beat the European go champion and defend against malware

Deep Learning: It can beat the European go champion and defend against malware At the end of last month, the authoritative science magazine Nature published an article about Google's AI program AlphaGo's victory over European go, which introduced details of the AlphaGo program.ActuallyIs a program that combines deep learnin

Depth | Kaiyu: The road of autonomous driving based on deep learning

The 2016 is a very important historical node, signifying that the AI system of unity of knowledge and line will go to the historical stage. It changes not only the next go, it will change a lot of things. --KaiyuOn the "Adas and autonomous Driving Trends forum" of the "2016 Smart cars and Shanghai Forum", Dr. Kaiyu, founder and CEO of Horizon Robotics, delivered a keynote speech entitled "The road to autonomous driving based on deep

The migration model of deep learning

The theme report of "Transfer model of deep learning" shorthand and commentary (iv) Bai Chu of the Red bean Family concern 2017.11.04 22:33* 3275 reading 141 comments 0 like 0 The author presses: machine learning is moving towards a new era of interpretive models based on "semantics". Migration learning is likely to ta

Look at the data. What scientists are using: ten deep learning projects on GitHub _deeplearning

The author Matthew May is a computer postgraduate in parallel machine learning algorithms, and Matthew is also a data mining learner, a data enthusiast, and a dedicated machine-learning scientist. Open source tools play an increasingly important role in data science workflows. GitHub Ten deep learning projects, which i

"Reprint" "code-oriented" Learning deep learning (iv) stacked Auto-encoders (SAE)

implementation in Toolbox is very simple:In the NNTRAIN.M:batch_x = batch_x.* (rand (Size (batch_x)) >nn.inputzeromaskedfraction)That is, the size of the (nn.inputzeromaskedfraction) part of the X-0,denoising Autoencoder appears to be stronger than sparse autoencoderContractive auto-encoders:This variant is "Contractive auto-encoders:explicit invariance during feature extraction" proposedThis paper also summarizes a bit of autoencoder, it feels goodThe contractive autoencoders model is:whichThe

Basic SQL Learning: and deep learning materials

Structured Query language to manipulate database.for example:1. INSERT into Events VALUES ("rubyconf", 100); Insert a piece of data into the events table2. SELECT * from events; Take out all the dataTri ACID (4 properties)Transaction: A process of doing business. Package a set of actions to execute together.Use begin;...commit; it can guarantee the correctness of data access, either succeed together or fail together.Atomicity: A transaction is an atom.Consistency: Consistency ensures that the i

A summary of the experts ' outlook on the development trend of deep learning in the next 5 years

Original URL: http://www.iteye.com/news/312701. We should see deeper models, which can be learned from fewer training samples compared to today's models, and will make substantial progress in unsupervised learning. We should see more accurate and useful speech and visual recognition systems.2. I expect deep learning to be increasingly used for multi-mode (multi-m

TensorFlow Deep Learning Framework

About TensorFlow a very good article, reprinted from the "TensorFlow deep learning, an article is enough" click to open the link Google is not only the leader in big data and cloud computing, but also has a good practice and accumulation in machine learning and deep learning

Unix programming learning notes (19)-deep learning of fork functions in Process Management

variables, and the parent process has also seen this modification. The vfork function may occur because the fork of the early system did not implement the write-time replication technology, resulting in a lot of useless work in each fork call (in most cases, it is called exec to execute a new program after fork) the efficiency is not high, so the vfork function is created. The current implementation basically uses the write-time replication technology, and when the vfork function is used improp

Udacity Google Deep Learning learning Notes

1. Why add pooling (pooling) to the convolutional networkIf you only use convolutional operations to reduce the size of the feature map, you will lose a lot of information. So think of a way to reduce the volume of stride, leaving most of the information, through pooling to reduce the size of feature map.Advantages of pooling:1. Pooled operation does not increase parameters2. Experimental results show that the model with pooling is more accurateDisadvantages of pooling:1. Because the stride of t

CSS deep understanding of learning notes-margin and css learning notes-margin

CSS deep understanding of learning notes-margin and css learning notes-margin 1. margin and container size Element size: ① visible size clientWidth (standard); ② occupying size    Margin and visual size: ① applicable to normal block elements without width/height; ② applicable only to horizontal dimension Margin and occupy size: ① block/inline-block horizontal ele

Deep understanding of CSS learning notes border and css learning notes

Deep understanding of CSS learning notes border and css learning notes 1. border-width Border-width does not support percentages: semantics and scenarios are determined. In reality, the concepts of borders do not support percentages. Border-width supports keywords: thin, medium (default), and thick. The values are 1px, 3px, and 5px (except IE7 ). Why is the defau

The presentation and processing of information in the second chapter of the learning process of the Deep learning computer system (C language)

above. Move right to erase the non-0-bit to the right of the decimal points of the result. These non-0 bits are actually positive, but because they are erased, the result subtracts the values of the non-0 bits represented by the original negative result, and the final result is rounded down rather than rounded to 0. Floating point number: Standard for representing floating-point numbers and their operations: IEEE Standard 754. Floating-point numbers are normalized, non-nor

Basic ideas and methods of deep learning

Deep Learning, also known as unsupervised feature learning or feature learning, is a hot topic at present. This article mainly introduces the basic idea and common methods of deep learning. 1. What is

Preparatory work for deep learning--python,pip,numpy,tensorflow installation

installation was successful, import the NumPy with Python, as follows to complete the installation4. Installing TensorFlow1.> download the corresponding version of the TensorFlow, must be corresponding to the Python version, the latest is the support python3.6 version, for: https://pypi.org/project/tensorflow-gpu/#files, Because my Python version is 3.6, so download TENSORFLOW_GPU-1.8.0-CP36-CP36M-WIN_AMD64.WHL2.> Installation: command: Pip install TENSORFLOW_GPU-1.8.0-CP36-CP36M-WIN_AMD64.WHL3

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