Sssss

.github/workflows/ci.yml

Ok

File "/home/shaoym/anaconda2/lib/python2.7/copy_reg.py", line 70, in _reduce_ex
raise TypeError, "can't pickle %s objects" % base.name

TypeError: can't pickle module objects

楼主，我在执行您的cnn.py代码时，这个pickle module报上面的错误，不知是什么原因？
不胜感激！

Traceback (most recent call last):
File "C:\Users\liangxin\keras_usage\c
data, label = load_data()
File "C:\Users\liangxin\keras_usage\d
imgs = os.listdir("./mnist")
WindowsError: [Error 3] : './mnist/.'

刚刚学python没多久，想请问一下，python不是有很多现成的聚类了吗，有必要自己写吗？新人，盼解答

Traceback (most recent call last):
File "D:/cliff/Programmer-related/GPU_related/kerasѧϰ/dive_into_keras/cnn.py", line 62, in
model = create_model()
File "D:/cliff/Programmer-related/GPU_related/kerasѧϰ/dive_into_keras/cnn.py", line 38, in create_model
model.add(Convolution2D(4, 1, 5, 5, border_mode='valid')) # cliff, add "input_shape"
File "C:\Anaconda2\lib\site-packages\keras\models.py", line 106, in add
raise Exception('The first layer in a Sequential model must '
Exception: The first layer in a Sequential model must get an input_shape or batch_input_shape argument.

不知道这个为什么会显示不存在，这个不是自己定义好的么？

我运行的时候弹出这个错误信息，是怎么回事
Traceback (most recent call last):
File "G:/MyCode/mmnist/keras_usage/cnn.py", line 85, in
sgd = SGD(l2=0.1,lr=0.05, decay=1e-6, momentum=0.9, nesterov=True)
File "D:\Anaconda2\lib\site-packages\keras-1.0.3-py2.7.egg\keras\optimizers.py", line 117, in init
super(SGD, self).init(**kwargs)
File "D:\Anaconda2\lib\site-packages\keras-1.0.3-py2.7.egg\keras\optimizers.py", line 36, in init
'passed to optimizer: ' + str(k))
Exception: Unexpected keyword argument passed to optimizer: l2

您好，看到您博文上利用keras训练CNN并保存训练好的CNN模型，并未找到保存的model.pkl，cnn.py文件中没有用于保存的代码啊？
还有，我用cnn做文本分类的，如果想要把每层的输出写到文件里面，留作他用，该怎么操作？
其实，跟您写的cnn_svm**是一致的，提取特征之后再用其他的方法分类，但是不知道文本和图像得到输出的方法是不是一样
麻烦大神了！

D ddjh

DeepLearning tutorial（7）深度学习框架Keras的使用-进阶

这篇博文里面说到的关于把模型的输出作为特征去训练其他模型的Paper可以指明一下吗？

万分感谢！

position:

保存训练参数的函数

def save_params(param1, param2, param3, param4):
import cPickle # <-----
write_file = open('params.pkl', 'wb')
cPickle.dump(param1, write_file, -1)
cPickle.dump(param2, write_file, -1)
cPickle.dump(param3, write_file, -1)
cPickle.dump(param4, write_file, -1)
write_file.close()

When I ran 'MachineLearning-master/DeepLearning Tutorials/keras_usage/cnn.py', it occur these following problems. can you give me some advice?
`C:\Users\Edward\Anaconda2\python.exe "D:/project/Github/MachineLearning-master/DeepLearning Tutorials/keras_usage/cnn.py"
Using Theano backend.

42000 samples
Traceback (most recent call last):
File "D:/project/Github/MachineLearning-master/DeepLearning Tutorials/keras_usage/cnn.py", line 79, in
model.add(Dense(128, init='normal', input_dim=16_4_4))
File "C:\Users\Edward\Anaconda2\lib\site-packages\keras\models.py", line 308, in add
output_tensor = layer(self.outputs[0])
File "C:\Users\Edward\Anaconda2\lib\site-packages\keras\engine\topology.py", line 487, in call
self.build(input_shapes[0])
File "C:\Users\Edward\Anaconda2\lib\site-packages\keras\layers\core.py", line 695, in build
name='{}_W'.format(self.name))
File "C:\Users\Edward\Anaconda2\lib\site-packages\keras\initializations.py", line 36, in normal
return K.random_normal_variable(shape, 0.0, scale, name=name)
File "C:\Users\Edward\Anaconda2\lib\site-packages\keras\backend\theano_backend.py", line 145, in random_normal_variable
return variable(np.random.normal(loc=0.0, scale=scale, size=shape),
File "mtrand.pyx", line 1903, in mtrand.RandomState.normal (numpy\random\mtrand\mtrand.c:18479)
File "mtrand.pyx", line 234, in mtrand.cont2_array_sc (numpy\random\mtrand\mtrand.c:3092)
ValueError: negative dimensions are not allowed

Process finished with exit code 1
`

Traceback (most recent call last):
File "cnn.py", line 57, in
model.add(Convolution2D(4, 5, 5, border_mode='valid',input_shape=(1,28,28)))
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/models.py", line 276, in add
layer.create_input_layer(batch_input_shape, input_dtype)
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 370, in create_input_layer
self(x)
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 514, in call
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 572, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 149, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 466, in call
filter_shape=self.W_shape)
File "/home/leo/anaconda2/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 1639, in conv2d
x = tf.nn.conv2d(x, kernel, strides, padding=padding)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d
data_format=data_format, name=name)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 703, in apply_op
op_def=op_def)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2312, in create_op
set_shapes_for_outputs(ret)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1704, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 246, in conv2d_shape
padding)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 184, in get2d_conv_output_size
(row_stride, col_stride), padding_type)
File "/home/leo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 149, in get_conv_output_size
"Filter: %r Input: %r" % (filter_size, input_size))
ValueError: Filter must not be larger than the input: Filter: (5, 5) Input: (1, 28)

MissingInputError: Input 0 of the graph (indices start from 0), used to compute if{}(keras_learning_phase, Elemwise{true_div,no_inplace}.0, Pool{ignore_border=True, mode='max', ndim=2}.0), was not provided and not given a value. Use the Theano flag exception_verbosity='high', for more information on this error.

12000/12000 [==============================] - 11s
Origin_model Accuracy: 0.964333333333
Start training SVM...
cnn-svm Accuracy: 0.299333333333
Start training Random Forest...
cnn-rf Accuracy: 0.295833333333

Process finished with exit code 0

https://www.tensorflow.org/get_started/os_setup

Pip installation on Windows

TensorFlow supports only 64-bit Python 3.5 on Windows

Can you add please your remarks in English

Traceback (most recent call last):

File "", line 1, in
debugfile('H:/DeepLearning/cnn_minst_keras/cnn.py', wdir='H:/DeepLearning/cnn_minst_keras')

File "D:\Anaconda2\lib\site-packages\spyder\utils\site\sitecustomize.py", line 888, in debugfile
debugger.run("runfile(%r, args=%r, wdir=%r)" % (filename, args, wdir))

File "D:\Anaconda2\lib\bdb.py", line 400, in run
exec cmd in globals, locals

File "", line 1, in

File "D:\Anaconda2\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)

File "D:\Anaconda2\lib\site-packages\spyder\utils\site\sitecustomize.py", line 87, in execfile
exec(compile(scripttext, filename, 'exec'), glob, loc)

File "h:/deeplearning/cnn_minst_keras/cnn.py", line 9, in
'''

File "D:\Anaconda2\lib\site-packages\keras\models.py", line 308, in add
output_tensor = layer(self.outputs[0])

File "D:\Anaconda2\lib\site-packages\keras\engine\topology.py", line 487, in call
self.build(input_shapes[0])

File "D:\Anaconda2\lib\site-packages\keras\layers\core.py", line 695, in build
name='{}_W'.format(self.name))

File "D:\Anaconda2\lib\site-packages\keras\initializations.py", line 36, in normal
return K.random_normal_variable(shape, 0.0, scale, name=name)

File "D:\Anaconda2\lib\site-packages\keras\backend\theano_backend.py", line 145, in random_normal_variable
return variable(np.random.normal(loc=0.0, scale=scale, size=shape),

File "mtrand.pyx", line 1903, in mtrand.RandomState.normal (numpy\random\mtrand\mtrand.c:18479)

File "mtrand.pyx", line 234, in mtrand.cont2_array_sc (numpy\random\mtrand\mtrand.c:3092)

ValueError: negative dimensions are not allowed

machine learning good?

What is issue and how to add issue?

from theano.tensor.signal import downsample
这个downsample是不是移动到其他位置了，小白一只，望告知~

你好，我对SMO的SVM的代码稍微有一点疑惑，就是关于权重系统$w$的计算的地方，如果核不是线性核，而是高斯核的时候，计算$g(x)$的时候直接用$y*X$是不是不太正确，应该加上核的运算？

谢谢指导

I think you have forgot set "input shape" in '"dive_into_keras/cnn.py"

L0CV 一种结合了代码、图示和HTML的在线学习媒介

L0CV is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.

• 📕 online book https://charmve.github.io/computer-vision-in-action
• GitHub https://github.com/Charmve/computer-vision-in-action

楼主知道哪有吗？

看了您的《朴素贝叶斯理论推导与三种常见模型》，觉得是网上我找到的写的最不错的一篇。希望保存下来做个笔记什么的。无奈CSDN博客无法导出PDF，复制粘贴出来里面的公式也就都乱套了。

无奈来你github下面留言。

望成全～

拜谢！

def _createTree(self,X,y,featureIndex):
有一个返回分支 #所有label都相同的话，则停止分割，返回该label
if labelList.count(labelList[0]) == len(labelList):
return labelList[0]
当输入数据所有的类别都相同的时候，myTree 被y值覆盖了。