torch deep learning

Alibabacloud.com offers a wide variety of articles about torch deep learning, easily find your torch deep learning information here online.

Python deep learning decorator and python deep learning and Decoration

Python deep learning decorator and python deep learning and Decoration Decorator is an advanced Python syntax. The decorator Can process a function, method, or class. In Python, we have multiple methods to process functions and classes. For example, in the Python closure, we can see the function object as the return re

Deep Learning of Vector sets and deep learning of vector

Deep Learning of Vector sets and deep learning of vector First, Vector is the list implementation provided by JDK. Like ArrayList, Vector is also implemented based on arrays. Create an array of 10, assign values to the elementData object, and set capacityIncrement to 0. The add method in the Vector adds the sync

A simple and easy to learn algorithm for depth learning--wide & Deep Learning_wide-deep

This article is a summary of reading the Wide Deep Learning for Recommender Systems, which presents a combination of the Wide model and the DEEP model for the Promotion recommendation System (recommendation System) has a very important effect on performance. 1. Background This paper presents the wide Deep model, whic

Deep Learning (depth learning) Learning Notes finishing Series (i)

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

Research progress of "neural network and deep learning" generative anti-network gan (Fri)--deep convolutional generative adversarial Nerworks,dcgan

Preface This article first introduces the build model, and then focuses on the generation of the generative Models in the build-up model (generative Adversarial Network) research and development. According to Gan main thesis, gan applied paper and gan related papers, the author sorted out 45 papers in recent two years, focused on combing the links and differences between the main papers, and revealing the research context of the generative antagonism network. The papers covered in this arti

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; probe into depth learning) __ Machine learning

[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

Cutting-edge deep learning papers, architecture and resource sharing

] Microsoft cognitive TOOLKIT-CNTK [C + +] MXNet adapted by Amazon [C + +] Torch by Collobert, Kavukcuoglu Clement Farabet, widely used by Facebook [Lua] Convnetjs by Andrej Karpathy [JavaScript] Theano by Universitéde Montréal [Python] Deeplearning4j by startup Skymind [Java] Paddle by Baidu [C + +] Scalable Sparse Tensor Network Engine (Dsstne) by Amazon [C + +] Neon by Nervana Systems [Python Sass] Chainer [Python] H2O [Java] Brainstorm by Istitu

Python Learning (ii)--Introduction to deep learning

combinations, 9 combinations were realized. This method. --1986 Inverse propagation algorithm--1994 long and short memory network--2006 Deep Neural Network--2007 convolutional Neural network  3. Why do you learn so much in depth now?--"Big" dataAt present, the technology development is better, the network has rich data.Deep learning: It takes a lot of data to train his abilities.--"

Deep Learning thesis note (7) Deep network high-level feature Visualization

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

Deep Learning: 16 (deep networks)

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

How to get started deep learning?

get started. David Silver has also recently published a short article on deep-enhanced learning. Deep Learning Framework : A lot of deep learning frameworks, the most famous three should be TensorFlow (Google),

Deep learning and shallow learning

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

Deep Learning (depth learning) Learning Notes finishing series (vi)

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 (depth learning) Learning notes finishing Series (iv)

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

Machine Learning 001 Deeplearning.ai Depth Learning course neural Networks and deep learning first week summary

Deep Learning SpecializationWunda recently launched a series of courses on deep learning in Coursera with Deeplearning.ai, which is more practical compared to the previous machine learning course. The operating language also has MATLAB changed to Python to be more fit to the

Deep learning Reading List

learning of representations by Yoshua Bengio Principles of hierarchical temporal Memory by Jeff Hawkins Machine learning Discussion Group-deep Learning W/stanford AI Labs by Adam Coates Making sense of the world with deep learning

(deep) Neural Networks (deep learning), NLP and Text Mining

(deep) Neural Networks (deep learning), NLP and Text MiningRecently flipped a bit about deep learning or common neural network in NLP and text mining aspects of the application of articles, including Word2vec, and then the key idea extracted out of the list, interested can b

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

Deep Learning Neural Network pure C language basic edition, deep Neural Network C Language

Deep Learning Neural Network pure C language basic edition, deep Neural Network C Language Today, Deep Learning has become a field of fire, and the performance of Deep Learning Neural N

Deep learning reading list Deepin learning Reading list

Reading List List of reading lists and survey papers:BooksDeep learning, Yoshua Bengio, Ian Goodfellow, Aaron Courville, MIT Press, in preparation.Review PapersRepresentation learning:a Review and New perspectives, Yoshua Bengio, Aaron Courville, Pascal Vincent, ARXIV, 2012. The monograph or review paper Learning deep architectures for AI (Foundations Trends in

Total Pages: 15 1 .... 4 5 6 7 8 .... 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.