theano deep learning

Deep Learning (depth learning) Learning notes finishing (ii) Transferred from: http://blog.csdn.net/zouxy09 Because we want to learn the characteristics of the expression, then about the characteristics, or about this level of characteristics, we need to understand more in-depth point. So before we say

Deep learning has been fire for a long time, some people have been here for many years, and some people have just begun, such as myself. How to get into this field quickly in a short period of time to master deep learning the latest technology is a question worth thinking about. In the present situation, it is the best

produce heavyweight results. We will introduce and implement these networks in a follow-up, in addition to the reconstruction of the Theano implementation code, but also to gradually supplement these algorithms in the actual application of the examples, we will mainly apply these algorithms in the start-up company data, from tens of thousands of start-up companies and investment and financing data, It is hoped to find out which companies are more lik

Transferred from: http://blog.csdn.net/zouxy09/article/details/8775488 Because we want to learn the characteristics of the expression, then about the characteristics, or about this level of characteristics, we need to understand more in-depth point. So before we say deep learning, we need to re-talk about the characteristics (hehe, actually see so good interpretation of the characteristics, not put here a l

-level Click logs can be used to obtain an estimate model through a typical machine learning process, thus increasing the CTR and rate of return on internet advertising;Personalized Recommendations, or through a number of machine learning algorithms to analyze various purchases on the platform, browse and collect logs, get a recommendation model to predict your favorite products.Depth

Deep understanding of Java Virtual Machine-learning notes and deep understanding of Java Virtual Machine JVM Memory Model and partition JVM memory is divided: 1.Method Area: A thread-shared area that stores data such as class information, constants, static variables, and Code Compiled by the real-time compiler loaded by virtual machines. 2.Heap:The thread-shared

Kevin Zakka ' s blogaboutnuts and bolts of applying deep learningSep 26, 2016This weekend is very hectic (catching up on courses and studying for a statistics quiz), but I managed-squeeze in some Time to watch the Bay area deep learning School livestream on YouTube. For those of your wondering what's is, Badls are a 2-day conference hosted at Stanford University,

classification technique. However, you may hear how these methods behave in some cases (like classification). If you have already passed the previous steps and feel that your solution has room for optimization, you may try to use a deep learning approach. The fact is that if you use an open source tool (such as Theano), you will know how to make these methods ve

one reason they are very popular.Deep learningLast but not least, the answer will be incomplete without a secondary reference to deep learning. I would definitely not recommend this approach as a generic classification technique. However, you may hear how these methods behave in some cases (like classification). If you have already passed the previous steps and feel that your solution has room for optimiza

learning algorithms which are widely used in image classification in the industry and knn,svm,bp neural networks. Gain deep learning experience. Explore Google's machine learning framework TensorFlow. Below is the detailed implementation details. First, System design In this project, 5 algorithms for experiments are K

Ext.: http://mp.weixin.qq.com/s?__biz=MzAwNDExMTQwNQ==mid=209152042idx=1sn= Fa0053e66cad3d2f7b107479014d4478#rd#opennewwindow1. Deep Learning development Historydeep Learning is an important breakthrough in the field of artificial intelligence in the past ten years. It has been successfully used in many fields such as speech recognition, natural language processi

Self-learning is a softmax classifier connected by a sparse encoder. As shown in the previous section, the training is performed 400 times with an accuracy of 98.2%. On this basis, we can build our first in-depth Network: stack-based self-coding (2 layers) + softmax Classifier In short, we use the output of the sparse self-Encoder as the input of a higher layer of sparse self-encoder. Like self-learning, i

ObjectiveFor deep learning, novice I recommend to see UFLDL first, do not do assignment words, one or two nights can be read. After all, convolution, pooling what is not a particularly mysterious thing. The course is concise, sharply, and points out the most basic and important points.cs231n This is a complete course, the content is a bit more, although the course is computer vision, but 80% is the content

deep understanding of machine learning: Learning Notes from principles to algorithms-1th week 02 easy to get started Deep understanding of machine learning from principle to algorithmic learning notes-1th week 02 Easy to get star

The preface introduces the basic concepts of machine learning and depth learning, the catalogue of this series, the advantages of depth learning and so on. This section by hot iron first talk about deep reinforcement study. Speaking of the coolest branch of machine 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

Deep learning articles and code collections for text categorizationOriginal: franklearningmachine Machine Learning blog 4 days ago [1] convolutional neural Networks for sentence classificationYoon KimNew York UniversityEMNLP 2014http://www.aclweb.org/anthology/D14-1181This article mainly uses CNN to classify sentences based on pre-trained word vectors. The auth

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 onli

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 ve

Machine learning Types Machine Learning Model Evaluation steps Deep Learning data Preparation Feature Engineering Over fitting General process for solving machine learning problems Machine Learning Four Br