deep-learning tag

54 questions

2 answers
100 views
0

Determining whether or not there is overlearning in deep learning when the number of data is small

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...

machine-learning deep-learning

1 years ago

1 answers
129 views
0

Japanese term for deep learning

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...

deep-learning japanese english

1 years ago

1 answers
108 views
0

No module name 'cupy' when OpenPose tries to run on GPU

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 ...

python deep-learning chainer

1 years ago

1 answers
117 views
0

What does "parameter" refer to in a neural network?

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...

machine-learning deep-learning neural-network

1 years ago

1 answers
74 views
0

How do I synthesize data in the middle of a network in a Chainer?

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...

python deep-learning chainer neural-network

1 years ago

1 answers
112 views
0

keras —Training model using VGG16 produces ValueError.

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 ...

python3 tensorflow deep-learning keras

1 years ago

1 answers
53 views
0

What is the meaning of the graph displayed during Model learning in NVDIA Digits?

What is the meaning of the graph displayed during NVIDIA DIGITS learning, and what is the meaning of loss(train)accuracy(val)loss(val)?

machine-learning deep-learning

1 years ago

1 answers
62 views
0

DQN for some reason Q max is low in TensorFlow

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 ...

python machine-learning tensorflow deep-learning

1 years ago

1 answers
111 views
0

torch.autograd.grad becomes 0 or NoneType

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...

python python3 machine-learning deep-learning pytorch

1 years ago

1 answers
66 views
0

About the number of layers of deep learning

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...

machine-learning deep-learning keras

1 years ago

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