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Deep Learning (bot direction) learning notes (1) Sequence2sequence Learning

Series Catalog:Seq2seq chatbot chat Robot: A demo build based on Torch CodexDeep Learning (bot direction) learning notes (1) Sequence2sequence LearningDeep Learning (bot direction) learning Notes (2) RNN Encoder-decoder and LSTM study 1 preface This deep learning, in fact, i

Deep Learning Framework Google TensorFlow Learning notes one __ deep learning

TensorFlowTensorFlow is Google's second generation of AI learning systems based on Distbelief, whose name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex data structures to artificial neural networks for analysis and processing. TensorFlow can be

Andrew Ng's Machine Learning course learning (WEEK5) Neural Network Learning

This semester has been to follow up on the Coursera Machina learning public class, the teacher Andrew Ng is one of the founders of Coursera, machine learning aspects of Daniel. This course is a choice for those who want to understand and master machine learning. This course covers some of the basic concepts and methods of machine

Stanford University public Class machine learning: Advice for applying machines learning-deciding to try next (how to determine the most appropriate and correct method when designing a machine learning system)

If we are developing a machine learning system and want to try to improve the performance of a machine learning system, how do we decide which path we should choose Next?In order to explain this problem, to predict the price of learning examples. If we've got the learning parameters and we're going to test our hypothet

Deep Learning Challenge: Extreme Learning Machine (extra-limited learning machine)?

Preface: Today just heard a talk about Extreme learning Machine (Super limited learning machine), the speaker is Elm Huangguang Professor . The effect of elm is naturally much better than the SVM,BP algorithm. and relatively than the current most fire deep learning, it has a great advantage: the operation speed is very fast, accurate rate is high, can online se

Learning the learning notes series of OpenCV-Environment configuration 2, opencv learning notes

Learning the learning notes series of OpenCV-Environment configuration 2, opencv learning notes To learn OpenCV well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the OpenCV source code Although many third-party websites and some

Excellent open source Software Learning Series (i)--from zero learning Spring4 and learning method sharing

: How do I check out a branch from GitHub?Plan 5:git Tools How to use————————————————————————Attention:1. Every time you meet a new plan, you should not immediately go into the planning of learning, because these problems are often very complex to learn, and its learning as much as the spring Web site, such as learning git tools, you can not spring has not been t

Machine Learning School Recruit Note 3: Integrated Learning adaboost_ Machine learning

The method of Ascension is to start from the weak learning algorithm, to learn, to get a series of weak classifier (basic classifier), and then combine these weak classifiers, build a strong classifier. Most of the lifting methods change the probability distribution (weight distribution) of training data, call the weak learning algorithm according to different training data distribution, and learn a series

[Pattern Recognition and machine learning] -- Part2 Machine Learning -- statistical learning basics -- regularized Linear Regression

Source: https://www.cnblogs.com/jianxinzhou/p/4083921.html1. The problem of overfitting (1) Let's look at the example of predicting house price. We will first perform linear regression on the data, that is, the first graph on the left. If we do this, we can obtain such a straight line that fits the data, but in fact this is not a good model. Let's look at the data. Obviously, as the area of the house increases, the changes in the housing price tend to be stable, or the more you move to the right

Learning the learning notes series of OpenCV (2) source code compilation and sample projects, opencv learning notes

Learning the learning notes series of OpenCV (2) source code compilation and sample projects, opencv learning notesDownload and install CMake3.0.1 To compile the source code of OpenCV2.4.9 by yourself, you must first download the compilation tool. CMake is the most widely used compilation tool. The following is an introduction to CMake: CMake is a cross-platform

Deep Learning 11 _ Depth Learning UFLDL Tutorial: Data preprocessing (Stanford Deep Learning Tutorial)

theoretical knowledge : UFLDL data preprocessing and http://www.cnblogs.com/tornadomeet/archive/2013/04/20/3033149.htmlData preprocessing is a very important step in deep learning! If the acquisition of raw data is the most important step in deep learning, then the preprocessing of the raw data is an important part of it.1. Methods of data preprocessing :① Data Normalization :Simple Scaling : Re-adjusts the

[Web Development Learning Notes] Hibernate learning summary, learning notes hibernate

[Web Development Learning Notes] Hibernate learning summary, learning notes hibernateHibernate learning notes part: This part of learning is easier, the code is more comprehensive, and easy to understand. It can be said that it is something of a memory nature. I did not take

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k-

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- After learning the implementation of the k-Nearest Neighbor Algorithm, I tested the k-Nearest Neighbor Algorithm by referring to the examples in machine

Start learning deep learning and recurrent neural networks some starting points for deeper learning and Rnns

Bengio, LeCun, Jordan, Hinton, Schmidhuber, Ng, de Freitas and OpenAI had done Reddit AMA's. These is nice places-to-start to get a zeitgeist of the field.Hinton and Ng lectures at Coursera, UFLDL, cs224d and cs231n at Stanford, the deep learning course at udacity, and the sum Mer School at IPAM has excellent tutorials, video lectures and programming exercises that should help you get STARTED.NB Sp The online book by Nielsen, notes for cs231n, and blo

Stanford University public Class machine learning: Machines Learning System Design | Trading off precision and recall (F score formula: How to balance (trade-off) precision and recall values in a learning algorithm)

In general, the relationship between recall and precision is as follows:1, if the need for a high degree of confidence, the precision will be very high, the corresponding recall rate is very low, 2, if the need to avoid false negative, the recall rate will be very high, the precision will be very low. on the right, the relationship between recall rate and precision ratio is shown in a learning algorithm. It is important to note that no

Chapter One (1.2) machine learning concept Map _ machine learning

A conceptual atlas of machine learning Second, what is machine learning Machine learning (machine learning) is a recent hot field, about some of its basic definitions Baidu encyclopedia, Wikipedia or online can find a lot of information, so here do not do too much explanation. We have two modes of solving a problem: O

My Python self-learning Path 1: Python learning path and python self-learning path

My Python self-learning Path 1: Python learning path and python self-learning path As a hacker, when learning Python, he will inevitably take some detours. Some people may lose themselves in the detours and others may get out of the detours. I am not a member of the company, so I want to talk about how to learn Python

Ios learning notes --- ios learning route, ios learning notes --- ios

Ios learning notes --- ios learning route, ios learning notes --- ios Complete ios learning route Images downloaded from the internet I am not a big bull. I write a blog to record my learning process. This is not an entry-level lea

Machine LEARNING-XVII. Large Scale machines Learning large machine learning (Week 10)

http://blog.csdn.net/pipisorry/article/details/44904649Machine learning machines Learning-andrew NG Courses Study notesLarge Scale machines Learning large machine learningLearning with Large datasets Big Data Set LearningStochastic Gradient descent random gradient descentMini-batch Gradient descent mini batch processing gradient descentConvergence of random gradi

Principle and programming practice of machine learning algorithm Chapter One basics of machine learning __ Machine learning

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of machine learning! 1.1 Program

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