54 questions
The video classification is based on a combination of CNN and RNN, and the correct answer rate is low in the test data, while the training data shows an almost 100% correct answer rate.However, the co...
Good morning, everyone.I'm translating my resume from English to Japanese, but I'm not good at Japanese yet, but there are many terms I don't know, but Wikipedia doesn't help me, so I'm asking Stack O...
I am trying to open pose by referring to the following site.https://github.com/DeNA/Chainer_Realtime_Multi-Person_Pose_Estimation/blob/master/README_JP.mdThe CPU worked fine, but the operation was so ...
It's more about how it works than programming.I don't really understand the ten laws of machine learning, the parameters in the sentence Get 10 times the number of parameters in your network.Do you me...
I am studying Deep Learning using Deep Learning's Chainer.In the process, I want to combine the two data, but I don't know how to do it.Specifically, def forward (x1, x2): h1 = F.relu(model.l1(x1)) h2...
Based on images prepared with confidence using this , I tried to implement a learning model with two classes, but I got a ValueError.Implementation Environment·Anaconda 4.3.14·Python 3.5.3·Tensorflow ...
What is the meaning of the graph displayed during NVIDIA DIGITS learning, and what is the meaning of loss(train)accuracy(val)loss(val)?
Thank you for your help.I am writing the following article.Tried creating Othello AI with tensorflow without understanding the theory of machine learningWhat I'd like to ask you this time is Q_max is ...
Calculating the partial differentiation of torch.autograd.grad in the code below will result in None.I can't see the contents of torch.autograd.grad, so I wonder if there is any problem during the par...
In deep learning and metastatic learning, does the deeper the layer, the higher the prediction accuracy in principle?Currently, we are fine tuning using keras' vgg16, but the accuracy is higher when w...
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