Deep convolutional neural networks have been a great success in the field of image, speech, and NLP, and from the perspective of learning and sharing, this article has compiled the latest resources on CNN related since 2013, including important papers, books, video tutorials, Tutorial, theories, model libraries, and development libraries. At the end of the text is attached to the resource address.
Importan
, such as the right half, should be added.Unefficient Grid Size reductionThere is a problem, it will increase the computational capacity, so szegedy came up with the following pooling layer.Efficient Grid Size reductionAs you can see, Szegedy uses two parallel structures to complete the grid size reduction, respectively, the right half of the conv and pool. The left half is the inner structure of the right part.Why did you do this? I mean, how is this structure designed? Szegedy no mention, perh
7.27 after the summer vacation, I started to run the deep learning program after I completed the financial project.
Hinton ran the article code on nature for three days, and then DEBUG changed the batch from 200 to 20.
Later, I started reading articles and felt dizzy.
It turns to: Deep Learning tutorials installs thean
The Wunda "Deep learning engineer" Special course includes the following five courses:
1, neural network and deep learning;2, improve the deep neural network: Super parameter debugging, regularization and optimization;3. Structured machine
Source: http://www.teglor.com/b/deep-learning-libraries-language-cm569Python
Theano is a Python library for defining and evaluating mathematical expressions with numerical arrays. It makes it easy-to-write deep learning algorithms in Python. The top of the Theano many more libraries is built.
kerasis
probability, the probability that the return type is Softmax, and which highest result is evaluated.
If you do a global system assessment, you can then add a layer of accuracy layer, the return type is accuracy.
3.2 2014 googlenet
2014 Imagenet Classification Detection Champion, 22-tier network ... To kneel, interested students to see the structure of the paper, where I can not cut off the screenshot ...
In addition, give a few references:
1. Beginners to play: You can use the online convne
0. OriginalDeep learning algorithms with applications to Video Analytics for A Smart city:a Survey1. Target DetectionThe goal of target detection is to pinpoint the location of the target in the image. Many work with deep learning algorithms has been proposed. We review the following representative work:SZEGEDY[28] modified the
with the Sofamax output of multiple convolutional networks , multiple models are fused together to output results. The results are shown in table 6. 4.5 COMPARISON with the state of the ARTwith the current compare the state of the ART model. Compared with the previous 12,13 network Vgg Advantage is obvious. With googlenet comparison single model good point,7 Network fusion is inferior to googlenet. 5 ConclusionIn this paper , the deep convolution n
difficult to benefit from end-to-end learning methods;
The DCF algorithm is less than two: Model updating adopts the method of sliding weighted averaging, which is not the optimal updating method, because once the noise is involved in the update, it is likely to lead to the drift of the model, so it is difficult to simultaneously get the stability and adaptability of the model.
Improvement One: The model of DCF algorithm is regarded as convolution fi
July algorithm December machine learning online Class---20th lesson notes---deep learning--rnnJuly algorithm (julyedu.com) December machine Learning Online class study note http://www.julyedu.com
Cyclic neural networks
Before reviewing the knowledge points:Fully connected forward network:
Some of the material of the deep learning introductory study are summarized according to the answers of some of Daniel's replies:Be noted that SOME VIDEOS is on youtube! I believe that you KNOW how to ACESS them.1. Andrew Ng's machine learning contents of the first four chapters (linear regression and logistic regression)Http://open.163.com/special/opencourse/mac
similar to the dimensionality reduction) method. Maximum pooling divides the input image into overlapping image matrix blocks, and each sub-region outputs its maximum value. The two reasons why the maximum pooling method is very effective in the visual processing problem are:(1) Reduce the computational complexity of the upper level by reducing the non-maximum value.(2) The result of pooling supports translation invariance. In the convolution layer, each pixel point has 8 orientations that can
Learning notes TF042: TF. Learn, distributed Estimator, deep learning Estimator, tf042estimator
TF. Learn, an important module of TensorFlow, various types of deep learning and popular machine learning algorithms. TensorFlow offic
Deep learning is one of the most important research directions for us, and it is also a necessary tool for the industry to realize a lot of amazing functions and the path to artificial intelligence.Let's take a look at what deep learning can do, the drone of Google research, whose components are made up of two parts, o
3. Spark MLlib Deep Learning convolution neural network (depth learning-convolutional neural network) 3.3Http://blog.csdn.net/sunbow0Chapter III Convolution neural Network (convolutional neural Networks)3 Example3.1 test DataFollow the above example data, or create a new image recognition data.3.2 CNN Example??? //2 test Data??? Logger.getRootLogger.setLevel (lev
First, the visualization method
Bar chart
Pie chart
Box-line Diagram (box chart)
Bubble chart
Histogram
Kernel density estimation (KDE) diagram
Line Surface Chart
Network Diagram
Scatter chart
Tree Chart
Violin chart
Square Chart
Three-dimensional diagram
Second, interactive tools
Ipython, Ipython Notebook
plotly
Iii. Python IDE Type
Pycharm, specifying a Java swing-based user interface
PyDev, SWT-based
The topic of this class is deep learning, the person thought to say with deep learning relatively shallow, with Autoencoder and PCA this piece of content is relatively close.Lin introduced deep learning in recent years has been a
UFLDL tutorialfrom ufldl Jump to:navigation, search
Description: This tutorial would teach you the main ideas of unsupervised Feature learning and deep learning. By working through it, you'll also get to implement several feature learning/deep
The application of deep learning in the ranking of recommended platform for American group reviewsOriginal address: https://tech.meituan.com/dl.htmlPan Hui Group reviews search for recommended teams · 2017-07-28 14:33 United States as the largest domestic service platform, business types involved in food, live, line, play, music and other fields, is committed to let everyone eat better, live better, there
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