deep learning recommender system

Energy-based model (EBM)The energy-based model associates every variable we are interested in with a scalar energy. learning is to modify the energy equation so that its shape has what we need. for example, we hope that the expected structure has low energy. the energy-based probabilistic model defines a probability distribution, which is determined by the energy equation: the normalized factor Z is called the allocation function, which is similar to

The foundation of deep learning--the beginning of neural network Original address fundamentals of Deep learning–starting with Artificial neural network preface Deep learning and neural networks are now driving advances in compute

Recently participating in the Internship project iteration, the project needs to achieve a rapid response to the system and a large number of data processing. In the continuous learning to get a bit of experience, first recorded. Change slowly!Knowledge of the agent model and simple application before the study notes have been recorded, you can review. The main record here is how to use the proxy mode to im

Deep knowledge of JVM learningPrefaceI believe a lot of people like me long-term use of Java programming, but very little attention to the JVM bottom-up implementation, which is largely because the JVM design is very sophisticated, so the project rarely encountered problems involving the JVM. But on the one hand, for the curiosity of Java underlying technology, on the other hand, some high concurrency, to the specific scenario optimization or troubles

Original address: HTTP://WWW.CNBLOGS.COM/SHANHEYONGMU/P/7122520.HTML1. Commodity order Data Model1.1 Data Model Analysis Ideas(1) data content recorded in each tableThe sub-module is familiar with the contents of each table record, which is equivalent to the process of learning the system requirements (functions).(2) Important field settings for each tableNon-null field, foreign key field(3) Relationship be

Deep Learning about Memcached and memcached Because Memcached distributed cache is used in a project in the lab, I have also learned about the distributed cache in depth during this time. This article will summarize my achievements and let's talk about what Memcached is.What is Memcached? Memcached is a high-performance distributed memory object cache system tha

rational, and the mood is irrelevant, however, human can express themselves through the expression, intonation, through the collection of these training sets can easily set up from the state to the mood of the map, so that the computer has emotions.3, the essence of creativity is the fine-tuning and reorganization of data, because of genetic algorithms and simulated annealing and other optimization processes are unfamiliar, people will mistakenly think that creativity is very NB intelligent act

vector to the discriminator to discriminate the probability that the generator is generated by the hidden space vector. Use real, fake pictures with real/fake tags to train discriminator; To train generator, you can use the GAN model to lose the gradient of the generator weight. This means that in each step, the weight of the generator is moved to the direction that the discriminator is more likely to classify the image decoded by the generator as "true." In other words, you train the g

Directory Deep learning environment Construction: tensorflow1.4.0+ubuntu16.04+python3.5+cuda8.0+cudnn6.0 Reference Hardware Description: Software Preparation: 1. Installing Ubuntu16.04 2. Install the video driver 3. Installing Cuda8.0 4. Installing Cudnn6.0 5. Tsinghua Source Installation Anaconda 6. Installing TensorFlow 7. Verify your Insta

Deep learning micro-frame: Spring Boot Author Dan Woods, translator Zhang Weibi posted on May 13, 2014 Spring boot, a new framework provided by the pivotal team, is designed to simplify the initial set-up and development process of new spring applications. The framework is configured in a specific way so that developers no longer need to define a boilerplate configuration. In this way, boot is committed

Objects can be copied in the shortest copy and deep copy modes. objects are copied only, but attributes are not copied. The copied objects share attributes with the original objects, that is, they point to the same attribute address, deep copy is equivalent to copying not only an object but also its attributes, that is, two things, but the content is the same. The copy protocol is used. If the object is to

Deep search and wide search of graphsReview the next two tree, the deep search and wide search.From the graph's traversal. There are two ways to traverse a graph: depth-first traversal (Depth, first search), breadth-priority traversal (breadth-search), its classic application maze, n-Queen, binary tree traversal, and so on. Traversal is to access all the nodes in the graph in some order, in the following or

Deep Learning of SQL Server aggregate function algorithm optimization skills, SQL server Aggregate functions are widely used in practical work to cope with various needs. Optimization of Aggregate functions naturally becomes a key point, whether a program is optimized or not directly determines the statement cycle of the program. SQL server Aggregate functions calculate a group of values and return a single

MongoDB Tour (4) In-depth study of Postedon ------------------------------------------------------ tips: SKU: StockkeepingUnit, minimum inventory unit. Db. categories. find ({_ id: {$ in: product [category_ids]}); db. products. renameCollection (store_produc MongoDB Tour (4) In-depth study of Posted on ------------------------------------------------------ tips: SKU: Stock keeping Unit, minimum inventory Unit. Db. categories. find ({_ id: {$ in: product ['category _ id']}); db. products. renameC

Php deep learning Note 2 (built-in function) 1. call _? User _? Func _? Array calls a user-defined function. The first parameter is the function name, The second parameter is that the function parameter must be an index array. Function foobar ($ arg, $ arg2) {echo _ FUNCTION __, "got $ arg and $ arg2 \ n";} class foo {function bar ($ arg, $ arg2) {echo _ METHOD __, "got $ arg and $ arg2 \ n" ;}}// call

This article mainly introduces the attributes of Python objects for deep learning. This article explains the internal running mode of object Attributes at a deeper level. If you need a friend, refer to Python objects ), each object can have multiple attributes ). Python attributes have a set of unified management solutions. _ Dict _ system of the attribute The a

directly performed on the Mesos adopts fine-grained sharing. One advantage of this is that although some tasks do not execute fine-grained tasks at the same time, long tasks and short tasks can still share space. The framework determines which resources are required based on the task length. Long tasks generally require more resources. Then mesos allocates resources to the Framework (this policy can be specified by the user), but the framework determines which resources to receive, the accepte

. The other main advantage was, because of how they was constructed (using bagging or boosting) these algorithms handle Very well-dimensional spaces as well as large number of training examples.As for the difference between Random forests (RF) and Gradient Boosted decision Trees (GBDT), I won ' t go to many details , but one easy-to-understand it is that Gbdts would usually perform better, but they was harder to get right. More concretely, Gbdts has more hyper-parameters to tune and is also more

61. Face detection system based on PCANET-RF (Chinese, periodicals, 2016, know-net)Pcanet Human face detection.62, using the human face image of the SVM gender classification (Gender identification using SVM Based on Human face Images) (English, conference, 2014,ei Search)Is the simple use of LBP+SVM for gender identification, in the gender recognition of the polynomial nucleus is better than the Gaussian nucleus.63. Go game based on