xingxinghuang/deeplearning.ai

The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.

deeplearning.ai's Issues

Momentum

As the above formula show, vdw[ l ] is just correlation with vdw[ l ] and dW, but I think vdw should be a correlation with vdw[ l-1 ]. Am I wrong?

关于作业答案

你好，看到你Readme上写着已经把答案删除，为什么我下载的文件中还包含着答案，请问怎么才能下到没有答案的版本

problem:No module named 'lr_utils'

In NeuralNetwork&DeepLearning___Week2(Logistic+Regression+with+a+Neural+Network+mindset),
"from lr_utils import load_dataset“ failed,No module named 'lr_utils' .
Anyone help me out? Many Thanks.

How to download All resourse from Coursera Notebook server?

Huangxingxing您好，
我试着在Coursera Notebook server上浏览整个目录结构，能够看到整个课程的资源。 但是只能选中，删除，没有下载链接。 请问您是如何都下载下来的呢？
多谢～

你好，请教下第四课卷积神经网络的课后编程作业如何使用？

第四课的课后作业怎么打开？是打开saved_resource.html文件吗？我用浏览器打开这个文件没有内容。（windows7、qq浏览器）

第5门课程开始了吗

你好，
看到你的这个仓库里包含第5课的内容，第5课已经开始了吗？
但是我在coursera.ai上面没看到如何内容呢？

第一课第三周编程作业报错

您好，开始做第一课第三周的作业时遇到一个问题：
运行

Visualize the data:

plt.scatter(X[0, :], X[1, :], c=Y, s=40, cmap=plt.cm.Spectral);
这一部分代码会报一长串错误，最后的是
ValueError: c of shape (1, 400) not acceptable as a color sequence for x with size 400, y with size 400
然后也画不出花的形状，请问这个问题是什么情况，该如何解决啊？感激~

Hi, how could I get the model.h5 of sequence_model?

little mistake in "deeplearning.ai/1_Neural Networks and Deep Learning/week2/Python Basics with Numpy/Python+Basics+With+Numpy+v3.ipynb"

Thanks "up-zhu"~~~

I found the Sigmoid.png couldn't display.
I found the code is

<img src="images/Sigmoid.png" style="width:500px;height:228px;"

I think it should be

<img src="Sigmoid.png" style="width:500px;height:228px;"

or move the pitcure to the images folder.

你好，4_Convolutional_Neural_Networks的notebook能像之前的材料一样共享吗

我在本地运行的作业代码的时候一直报错

你好，我在运行的一直遇到这样的问题
比如第二课，第一周的Regularization
train_X, train_Y, test_X, test_Y = load_2D_dataset()

TypeError Traceback (most recent call last)
c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
131 try:
--> 132 rgba = _colors_full_map.cache[c, alpha]
133 except (KeyError, TypeError): # Not in cache, or unhashable.

TypeError: unhashable type: 'numpy.ndarray'

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\axes_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
3985 # must be acceptable as PathCollection facecolors
-> 3986 colors = mcolors.to_rgba_array(c)
3987 except ValueError:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba_array(c, alpha)
232 for i, cc in enumerate(c):
--> 233 result[i] = to_rgba(cc, alpha)
234 return result

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
133 except (KeyError, TypeError): # Not in cache, or unhashable.
--> 134 rgba = _to_rgba_no_colorcycle(c, alpha)
135 try:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in _to_rgba_no_colorcycle(c, alpha)
188 if len(c) not in [3, 4]:
--> 189 raise ValueError("RGBA sequence should have length 3 or 4")
190 if len(c) == 3 and alpha is None:

ValueError: RGBA sequence should have length 3 or 4

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in ()
----> 1 train_X, train_Y, test_X, test_Y = load_2D_dataset()

~\Desktop\deeplearning.ai_JupyterNotebooks-master\deeplearning.ai_JupyterNotebooks-master\2_Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization\week1\2_Regularization\reg_utils.py in load_2D_dataset()
332 test_Y = data['yval'].T
333
--> 334 plt.scatter(train_X[0, :], train_X[1, :], c=train_Y, s=40, cmap=plt.cm.Spectral);
335
336 return train_X, train_Y, test_X, test_Y

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\pyplot.py in scatter(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, hold, data, **kwargs)
3376 vmin=vmin, vmax=vmax, alpha=alpha,
3377 linewidths=linewidths, verts=verts,
-> 3378 edgecolors=edgecolors, data=data, **kwargs)
3379 finally:
3380 ax._hold = washold

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib_init_.py in inner(ax, *args, **kwargs)
1715 warnings.warn(msg % (label_namer, func.name),
1716 RuntimeWarning, stacklevel=2)
-> 1717 return func(ax, *args, **kwargs)
1718 pre_doc = inner.doc
1719 if pre_doc is None:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\axes_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
3989 msg = ("c of shape {0} not acceptable as a color sequence "
3990 "for x with size {1}, y with size {2}")
-> 3991 raise ValueError(msg.format(c.shape, x.size, y.size))
3992 else:
3993 colors = None # use cmap, norm after collection is created

ValueError: c of shape (1, 211) not acceptable as a color sequence for x with size 211, y with size 211

week1_Gradient_Checking

Thank you for sharing！
I met a problem when I run the Gradient+Checking.ipynb.

There is a mistake in the backward propagation! difference = 0.333333347899

But the expected output is difference = 0.285093156781.

I want to know whether the error is normal?
one more thing, I couldn't find the bug in the function of backward_propagation_n.
Could you help me?

quiz答案如何查看

您好，我是小白一枚，想问一下您的quiz答案例如4_week1.html在github上面打开是代码形式的，想问一下查看的时候需要clone下来查看吗