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When tensorflow-gpu uses GPU, its efficiency is the same as that of CPU.
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...
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Error occurred when converting Pytorch model to GPU model
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...
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The problem of non-Convergence of Tensorflow Multivariate Linear regression parameters
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 ...
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I use tensorflow to implement why RNN will invalid syntax when initializing variables
I am a rookie. I just started to learn tensorflow,. When I used tensorflow to implement RNN, init = tf.global_variables_initializer () reported an error. I am so ignorant-- pray for God! Thank you!
import tensorflow as tf
from tensorflow.exampl...
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The Dimension problem of Tensorflow in calculating loss
running a simple CNN model, the picture shows 64X64 the first layer convolution is 8X5X5, pooled into 5X5, step size is 2; second layer convolution is 16X5X5, pooled is 5X5, step size is 2; third layer convolution is 32X1X1, pooled into global pooled...
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Does session.run ([op1,op2]) in tensorflow have priority when assigning cpu or gpu?
Does session.run ([op1,op2]) in tensorflow give priority to the allocation of cpu and gpu when fetch has multiple op? Because if op1 is to add 1 to a variable x and then assign to assign op2 to the same x minus 1, then the value of x is uncertain.
imp...
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I don't quite understand machine learning.
from PIL import Image, ImageFont, ImageDraw im = Image.open ( . realcap captcha (4) .gif ) % matplotlib inline
the matlotlib liline behind the% here is now like machine learning a lot of expressions I don t quite understand, I don t know what ...
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Error in jupyter startup?
whether you enter token, above or below, you cannot log in. When you open the chrom development tool, you will find that there is something wrong with the page. How to solve this problem?
...
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How to add python3? to jupyter
since python2, is installed by default in mac, now I want to use python3, , so I installed a python3, prompt Installed kernelspec python3 in usr local share jupyter kernels python3 on the terminal, indicating that the core installation of python3 is...
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Error when importing tensorflow
I just tried to install tensorflow, in accordance with the way taught on the official website of tf. The installation method is Virtualenv. The installation is successful. When I enter the virtual environment and import tensorflow, I report an error. Th...
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The accuracy calculation in tensorflow is calculated in units of batch_size.
it seems to say on the Internet that accuracy in TF is calculated according to batch_size (denominator batch_size). Why is it that when batch_size = 4 is set, the output accuracy of each batch_size after updating the model parameters is not one of 0meme ...
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Using CNN, why doesn't my loss function go down? the stability is frightening.
after several iterations, the loss function remains unchanged, and the learning rate is still changed. I hope the great god will guide you what the problem is this is the code https: github.com yaoqinchua. uses multi-perspective CNN (mvcnn) .
...
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Ubuntu installation tensorflow prompt pip version is not correct
1 I installed tensorflow, on ubuntu16.04LTS, python version 2.7 3.5.2 with pip. The result indicates that piping is too old, and it is useless for me to update pip. The following is the error message
yc_qian@QYC:~$ sudo-H pip install tensorflow-- up...
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What is the difference between Keras and Tensorflow?
Hello, everyone. I just learned neural network. I want to do a regression experiment to test whether neural networks can learn this special case. This is a simple experiment, training data is randomly generated 10000 pieces of data, each data feature ve...
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Tensorflow cannot be used properly in Pycharm after installation
problem description
Pip can be used normally in jupyterNotebook after Tensorflow is installed normally, but when importing from normal command line and pycharm, it is found that the imported package is not a normal package (you can import the package ...
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There are some problems in the classification of Tensorflow pre-training networks using inception_resnet_v2.
1 problem description
the actual combat is to use the code in the slim framework to use inception_resnet_v2 s pre-training network to train their own data sets for classification. But there is .
InvalidArgumentError (see above for traceback): Assign...
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How can actions customized through py_func in tensorflow be used in keras?
when customizing the layer through keras, if you use the py_func function of tensorflow to customize the action, it will cause AttributeError: NoneType object has no attribute _ inbound_nodes to be prompted when creating the model.
the test ...
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Doesn't the use of GPU in the Tensorflow framework only affect speed, and why does it affect running results?
the use of GPU in the Tensorflow framework will only affect speed and why it will also affect the running results.
when you close GPU, the result will be blank. Using GPU is normal
https: pan.baidu.com s 1mfA7.
Code as above, can be run directly ...
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The problem of tensorflow embedding Visualization
now that I have finished classifying my photo collection using Alexnet network, I now see that the function of embedding in tensorBoard feels very cool, and I especially hope to see the effect of my network classification through that kind of visual int...
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There is a variable in tensorflow, and there is a dimension that is uncertain all the time. How to force a value to it?
1. Question:
tensorflow
error the Tensor printed in blue before is the variable I want to force assignment to
Code:
def alexnet(image, keepprob=0.5):
...
fc3 = tf.nn.sigmoid(tf.matmul(dropout2, weight3))
return fc3
is the...