theano deep 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

Before I have been using Theano, the previous five deeplearning related articles are also learning Theano some notes, at that time already feel Theano use up a little trouble, sometimes want to achieve a new structure, it will take a lot of time to programming, so think about the code modularity, Easy to reuse, but bec

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

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

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 (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

learning framework based on Theano. it is designed based on Torch and written in Python. it is a highly modular neural network library that supports GPU and CPU. 3. Lasagne (deep learning) It is not just a delicious Italian dish, but also a deep

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.--"

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

MEW.Second, Theano. Born in 2008 at the Montreal Institute of Technology, Theano derived a great deal of deep learning Python software packages, most notably blocks and Keras.Third, Torch. Torch has been born for ten years, but the real benefit of Facebook was that last year a lot of torch's

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

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), Torch (Facebo

neural network of the MEW.Second, Theano. Born in 2008 at the Montreal Institute of Technology, Theano derived a great deal of deep learning Python software packages, most notably Blocks and Keras.Third, Torch. Torch has been born for ten years, but the real benefit of Facebook was that last year a lot of Torch's

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

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