theano deep learning

[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-081) The Deep Learning Learning Series is a collection of information from the online very big Daniel and the machine learning experts selfless dedication. Please refer to the references for specific information. Specific version statements are also

The basic thought of deep learningSuppose we have a system s, which has n layers (S1,... SN), its input is I, the output is O, the image is expressed as: I =>S1=>S2=>.....=>SN = o, if the output o equals input I, that is, input I after this system changes without any information loss (hehe, Daniel said, it is impossible.) In the information theory, there is a "message-by-layer-loss" statement (processing inequalities), the processing of a information

progress of the algorithm, but also because the deep learning technology has achieved very good application effect in all walks of life. deep Learning, as a combination of theory and practice, has emerged in the new algorithm theory, and various deep

Deep Learning notes ------ windows system for Linux-Ubuntu14.04 dual system installation notes (a), deep linux dual system installation notes Currently, deep learning is widely used in target detection and Classification Research, and most Neural Network frameworks (such as

deep learning.) This article is a translation of Minerva's introduction. I just contact the depth of learning direction, the professional terminology of very little understanding, ventured to translate this article, there are many languages are not fluent and inaccurate. Hope and the same is the introduction of friends to share this article, but also want to lea

Deep learning is now a hot concept in machine learning, but the concept has become a bit of a myth as it is reproduced in various media: for example, deep learning can be thought of as a machine learning method that simulates the

legal reasons, but PPT is still there. In the spring of 2017, I will be teaching this course at New York University again. Website: http://cilvr.nyu.edu/doku.php?id=deeplearning2015%3Aschedule) In 2015, a "deep learning Summer Course" was held in Montreal, Canada, which was targeted at: graduate students, industry engineers and researchers who already have the basic knowledge of machine

is worth mentioning that the middle layer added a lot of softmax classifier, to prevent overfitting, that is: When the inception network, the branches of the same output, in order to make full use of the neural network structure, in the middle layer is the output, the final comparison of the output results, In order to find the best output of the corresponding structure. 8.Using Open-source Implementation We can look for existing open source files from GitHub in the process of training the r