Giter VIP home page Giter VIP logo

book-code's People

Contributors

jaimetang avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

book-code's Issues

跑着跑着,Loss就变成了Nan,怎么解决

Training...
Batch 500,Model1 Train Loss:0.0951,Model1 Train ACC:96.0000,Model2 Train Loss:0.5438,Model2 Train ACC:82.0000, Blending_Model ACC:96.0000
Batch 1000,Model1 Train Loss:0.0716,Model1 Train ACC:97.0000,Model2 Train Loss:0.4565,Model2 Train ACC:88.0000, Blending_Model ACC:97.0000
Epoch, Model1 Loss:0.0713, Model1 Acc:97.0000%, Model2 Loss:0.4449, Model2 Acc:88.0000%,Blending_Model ACC:97.0000
Validing...
Epoch, Model1 Loss:0.0491, Model1 Acc:98.0000%, Model2 Loss:0.2798, Model2 Acc:96.0000%,Blending_Model ACC:98.0000
Epoch 1/4
Training...
Batch 500,Model1 Train Loss:35.3260,Model1 Train ACC:96.0000,Model2 Train Loss:0.2745,Model2 Train ACC:95.0000, Blending_Model ACC:96.0000
Batch 1000,Model1 Train Loss:nan,Model1 Train ACC:73.0000,Model2 Train Loss:0.2537,Model2 Train ACC:95.0000, Blending_Model ACC:73.0000
Epoch, Model1 Loss:nan, Model1 Acc:71.0000%, Model2 Loss:0.2503, Model2 Acc:95.0000%,Blending_Model ACC:71.0000
Validing...

第六章手写数字识别代码报错

tensor.sub_(mean[:, None, None]).div_(std[:, None, None])

RuntimeError: output with shape [1, 28, 28] doesn't match the broadcast shape [3, 28, 28]

以上是报错,似乎是mnist数据集是灰度图?然后代码中处理时将均值设置的是对rgb的图像进行的

Chapter-7

迁移VGG16部分
running_loss = 0.0
running_corrects = 0
for batch, data in enumerate(dataloader[phase], 1):

    X, y = data
    if Use_gpu:
        X, y = Variable(X.cuda()), Variable(y.cuda())
    else:
        X, y = Variable(X), Variable(y)
        
    y_pred = model(X)
    _, pred = torch.max(y_pred.data, 1)
    optimizer.zero_grad()
    loss = loss_f(y_pred, y)
    
    if phase == "train":
        loss.backward()
        optimizer.step()
        running_loss += loss.data[0]
        running_corrects += torch.sum(pred == y.data)
        
        if batch%500 == 0 and phase =="train":
            print("Batch {}, Train Loss:{:.4f}, Train ACC:{:.4f}".format(batch, running_loss/batch, 100*running_corrects(16*batch)))

epoch_loss = running_loss*16/len(image_datasets[phase])
epoch_acc = 100*running_corrects/len(image_datasets[phase])
print("{} Loss:{:.4f} Acc:{:.4f}%".format(phase, epoch_loss,epoch_acc))

这些行前面全部少了一个缩进

为什么内容损失是0呢?而且风格损失没有变化??

C:\Users\3057.conda\envs\pytorch11\python.exe C:/Users/lucifer/pytorch11/chp8_aut.py
Epoch:50 Style Loss: 881.223694 Content Loss:0.000000
Epoch:100 Style Loss: 881.223694 Content Loss:0.000000
Epoch:150 Style Loss: 881.223694 Content Loss:0.000000
Epoch:200 Style Loss: 881.223694 Content Loss:0.000000
Epoch:250 Style Loss: 881.223694 Content Loss:0.000000
Epoch:300 Style Loss: 881.223694 Content Loss:0.000000

Process finished with exit code 0

'Content_loss' object is not iterable

第八章风格迁移运行的时候出现这个错误,请问该怎么解决呢??
Traceback (most recent call last):
File "C:/Users/lucifer/pytorch11/chapter_8.py", line 142, in
optimizer.step(closure)
File "C:\Users\3057.conda\envs\pytorch11\lib\site-packages\torch\optim\lbfgs.py", line 103, in step
orig_loss = closure()
File "C:/Users/lucifer/pytorch11/chapter_8.py", line 133, in closure
for cl in content_loss:
TypeError: 'Content_loss' object is not iterable

Process finished with exit code 1

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.