difference between BP neural network and cnn dnn
difference between BP neural network and cnn dnn
1.DNN can not model the changes in time series.
2.CNN reduces the number of parameters that the neural network needs to train through receptive field and weight sharing.
too many 3.BP weights and too much computation
The setting uses GPU, but there is no change in computing speed, and gpu utilization is extremely low. here is part of the code: < hr > from tensorflow.python.framework import ops ops.reset_default_graph() config = tf.ConfigProto() config.gpu_optio...
because there is no PyTorch tag at present, so TensorFlow is used. Would you like to add this tag to those with high reputation? Thanks tags () recently, I m going to use the VGG model to train the data, and then I want to use GPU, but I always repor...
when using Tensorflow for multiple linear regression, we encounter the problem of parameter non-convergence. The problem lies in the choice of optimization methods: if you use tf.train.AdamOptimizer , the parameters will converge and the loss function ...
after importing data, it always reports an error after running show. I can t find a solution. Have you ever encountered it before? AttributeErrorTraceback (most recent call last) <ipython-input-14-f3e970a4cdcd> in <module>() ----> 1 gra...
question: recently I was learning the perceptron model and wanted to draw the following picture, but found that the + - sign in the following picture could not be drawn. drawing code from elsewhere, where Perceptron is a class implemented i...
I just started to learn about machine learning. When I tried to do some small things, I found that there was only one feature entered in the pytorch content on the Internet, which may be because my keywords were wrong. If I want to use pytorch to create...
use spark mllib linear regression to do traffic forecast printing training, weight and other coefficients are all NaN data format: 520221 | 0009 | 0009 | 292 | 000541875150 | 2018 | 04 | 18 | 11 | 3 | 137 520626 | 0038 | 0038 | 520626 | 2030300010...
I would like to ask why my picture is named 000001.jpg 000002.jpg. Why would I report this error after training?...
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RT, if I have two articles, how can I calculate their similarity? What are the specific ideas and mature methods? ...
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what is the cause of this ?...
is there any open source library that can do that ...
what is the difference between pattern recognition and machine learning? How to accurately judge whether an algorithm is pattern recognition or machine learning ...
first of all, import tkinter and then the error is as follows: Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named tkinter but I m already sudo apt-get install pyth...
I have seen several empirical formulas about the number of nodes in the hidden layer 1, for example, I am 40 input nodes and one output node. According to the empirical formula, if the hidden layer is single-layer hidden layer, the number of hidden ...
what is the meaning of the "training algorithm " in the figure below? For example, the KNN algorithm mentioned below is not a function, something determined by routines? Why train? ...
the vpn tool provided by the company is only available in windows, so I want to use Parallels Desktop software to build a win7 virtual machine, connect the win7 virtual machine to the company s vpn, and then let mac connect to the vpn network in the vi...
1, max is linear in the range greater than 0, can it still play the role of adding non-linear elements? 2. Why is leaky ReLU not more common than ReLu as an advanced version of ReLU? ...