#Compares vector to the value 10, which generates a new Boolean vector [False, True, False, False]. It assigns this result to equal_to_ten vector = numpy.array([5, 10, 15, 20]) equal_to_ten = (vector == 10) print(equal_to_ten) print(vector[equal_to_ten]) 1. 2. 3. 4. ...
retain_derived : bool Whether to retain the variables calculated during the forward pass for use later during backprop. If False, this suggests the layer will not be expected to backprop through wrt. this input. Default is True. Returns --- Y : :py:class:`ndarray <numpy.ndarray>` of sha...
only the words in `vocab` will be used to construct the language model; all out-of-vocabulary words will either be mappend to ``<unk>`` (if ``self.unk = True``) or removed (if ``self.unk = False``). Default
There are often cases when we want to carry out an operation between an array and a single number (we can also call this an operation between a vector and a scalar). Say, for example, our array represents distance in miles, and we want to convert it to kilometers. We simply saydata ...
For a 1-D array this has no effect, as a transposed vector is simply the same vector. To convert a 1-D array into a 2D column vector, an additional dimension must be added.np.atleast2d(a).Tachieves this, as doesa[:, np.newaxis]. ...
Finding the index coordinates of the minimum values of a ndarray both in a row and a column For this purpose, we will use theunravel_index()method where we can use theargmin()method. This method converts a flat index or array of flat indices into a tuple of coordinate arrays. ...
importsysimportnumpyasnpfromPILimportImageimage=Image.open("../manning-logo.png").convert("L")print("Image size:",image.size)width,height=image.sizeimage_arr=np.array(image)print("Array shape, array type:",image_arr.shape,image_arr.dtype)print("Array size * item size: ",image_arr.nbyt...
How to Get Random Set of Rows from 2D NumPy Array? 'Cloning' Row or Column Vectors to Matrix How to flatten only some dimensions of a NumPy array? Difference Between NumPy's mean() and average() Methods Concatenate a NumPy array to another NumPy array ...
(vector == 5) vector[equal_to_ten_or_five] = 50 print(vector) [50 50 15 20] matrix = numpy.array([ [5, 10, 15], [20, 25, 30], [35, 40, 45] ]) second_column_25 = matrix[:,1] == 25 print second_column_25 matrix[second_column_25, 1] = 10 print matrix [False ...
(self.n_in, self.n_out)) # 初始化权重 W # convert a fully connected base layer into a sparse layer # 将全连接基础层转换为稀疏层 n_in, n_out = W.shape # 获取权重 W 的形状 p = (self.epsilon * (n_in + n_out)) / (n_in * n_out) # 计算稀疏性参数 p mask = np.random...