deep learning tutorial tensorflow

Logistic classification GitHub Project Address: https://github.com/ahangchen/GDLnotesWelcome to star, you can discuss it in issue area.Official Tutorial AddressVideo/subtitle Download About Simple but important classifier Train your first simple model entirely end to end Download, preprocess some pictures to classify Run an actual logistic classifier on images data Connect bit of math and code Det

resulting in the situation just now, if the rule entry after the Hession matrix will not be irreversible), add the rule after the loss function expression is as follows: The partial-derivative expression at this time is as follows: The rest of the problem is to use mathematical optimization method to solve, in addition to the mathematical formula to understand Softmax regression is the extension of the logistic regression. The differences and conditions of use between Softmax regression and K

I0721 10:38:17.342094 4692 net.cpp:125] Top shape:256 4096 1 1 (1048576) I0721 10:38:17.342157 4692 net.cpp:151] fc7 needs backward computation. I0721 10:38:17.342175 4692 net.cpp:74] Creating Layer RELU7 I0721 10:38:17.342185 4692 net.cpp:84] Relu7 I0721 10:38:17.342198 4692 net.cpp:98] Relu7-FC7 (In-place) I0721 10:38:17.342208 4692 net.cpp:125] Top shape:256 4096 1 1 (1048576) I0721 10:38:17.342217 4692 net.cpp:151] relu7 needs backward computation. I0721 10:38:17.34

derivatives) that consists of the slope of each dimension. The derivation formula for one-dimensional function is as follows:When a function has more than one parameter, we call the derivative a partial derivative. The gradient is the vector formed by the partial derivative on each dimension.Most optimized notes (top) finish.Translator Feedback reprint must be reproduced in full text and note the original link, otherwise reserved rights Please refer to the comments and priva

diagram):7. FC7 phase DFD (Data flow diagram):8. Fc8 phase DFD (Data flow diagram):Various layers of operation many other explanations can be tested http://caffe.berkeleyvision.org/tutorial/layers.htmlFrom the process of calculating the data flow of the model. The model parameters are probably 5kw+.The Caffe output also includes a log of the contents of this block, details such as the following:I0721 10:38:15.326920 4692 net.cpp:125] Top shape:256 3

　Iv. selection of AlgorithmsThis step makes me very excited, finally talked about the algorithm, although no code, no formula. Because the tutorial does not want to go deep to explore the details of the algorithm, so focus on the application of the algorithm from the scenario, the shortcomings of the algorithm, how to choose the algorithm to expand vertically.Our training model is generally divided into sup

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their programming and implementation methods, if they want to implement the function do not know how to achieve, I will learn their implementation, not plagiarism code, the end result is to learn, the technology into their ownASP I also learn in the same way (easy and news program and other ASP Open source program) 5. PracticeTheory is important, but practice is essential. Your theoretical knowledge is good, if you do not practice, you can not see the results of the theory or effect, and can no

download not to collect them, is to learn their programming and implementation methods, if they want to implement the function do not know how to achieve, I will learn their implementation, not plagiarism code, the end result is to learn, the technology into their own. ASP I also learn in the same way (easy and news program and other ASP Open source program) 5. Practice Theory is important, but practice is essential. Your theoretical knowledge is good, if you do not practice, you can not see th

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item in the new dictionary. Values MethodThe values method is used to return a value in the dictionary as a list. is similar to the items method and the Keys method. Because the values in the dictionary may be the same, the returned list can contain duplicate elements.(itervalues) methodThe Itervalues method is used to return the values in the dictionary as iterators. Similar to the Iteritems method and the Iterkeys method. Because the values in the dictionary may be the same, the returned list

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, to complete the site, must first learn to do Web pages, so must master the HTML, in order to create a site for the future to lay the foundation. In the learning of HTML I want to learn while doing is the most effective way, of course, this way for learning PHP is also the most effective. Any element in the HTML to practice, only to understand what the elements will play an effect, you will remember

long time to digest, but as long as you can stick to it, you will find that your use of regular expressions will significantly improve. PHP100 video tutorial 36: learning and applying regular expressions in PHP (1)PHP100 video tutorial 37: learning and applying regular expressions in PHP (2)PHP100 video

This article is not very in-depth, but there are a lot of examples, learning Python advanced data structure of a good basic tutorial. The concept of The concept of data Structures Data structures is well understood and is the structure used to organize data together. In other words, the data structure is what is used to store a series of associated data. There are four types of built-in data structure

couple will re-embark on my C + + tour, previously also read C++primer and other books but not deep understanding, participate in work and then re-examine will have a new experience. In the blog Park also browsed some of the relevant C + + learning advanced articles and some of the recommended books, very inspired. My understanding is one step at a time, as long as the direction is not too late to start.

series of callback functions, which is a recurring pattern in the Erlang system.Further readingIn this section we focus on the similarities between twisted and Erlang, but they are a lot different. One of the unique features of Erlang is the way it handles errors. A large Erlang program is structured as a tree-structured process group, with "regulators" on the upper level and "workers" on the leaves. If a worker process crashes, the regulatory process will notice and act accordingly ( Usually r

. Import Cpickle Write_file=open ('/home/wepon/ab ',' WB ') Cpickle.dump (a,write_file,-1) Cpickle.dump (b,write_file,-1) Write_file.close () #读取, Cpickle.load function. Read_file=open ('/home/wepon/ab ',' RB ') A_1=cpickle.load (Read_file) B_1=cpickle.load (Read_file) Print A, b Read_file.close () Number filtering software mobile phone number filter toolIn the deeplearning algorithm, because the GPU is used, the parameters are often declared as shared variables, so y

'}; Deepcopy (d) # deep copy{}.fromkeys ([' Key1 ', ' Key2 ']) ==> {' Key2 ': None, ' Key1 ': none} #创建字典d={' key1 ': ' value1 ', ' key2 ': ' value2 '}; D.get (' key1 ') ==> ' value1 ' #获得值d={' key1 ': ' value1 ', ' key2 ': ' value2 '}; D.has_key (' Key1 ') ==> True #是否有该键d={' key1 ': ' value1 ', ' key2 ': ' value2 '}; D.items () ==> [(' Key2 ', ' value2 '), (' Key1 ', ' value1 ')] # all itemsd={' key1 ': ' value1 ', ' key2 ': ' value2 '}; D.iteritem