- torch.
randn(2, 3, device=device, dtype=dtype) print(a) # Output: tensor([[-1.1884, 0.8498, -1.7129], # [-0.8816, 0.1944, 0.5847]]) b = torch.
randn(2, 3...
-
following exemplifies using torch via its REPL interpreter: > a = torch.
randn(3, 4) > =a -0.2381 -0.3401 -1.7844 -0.2615 0.1411 1.6249 0.1708 0.8299 -1...
- get_function("multiply_them") a = numpy.random.
randn(400).astype(numpy.float32) b = numpy.random.
randn(400).astype(numpy.float32) dest = numpy.zeros_like(a)...
-
these many last
points for 'limit'
option x =
randn(1, P) * 10; % the
random starting points y =
randn(1, P) * 10; for n = 1:P, X = compute_ikeda_trajectory(u...
-
current directory.
clear all %
generate synthetic data data=[
randn(500,2);
randn(500,1)+3.5,
randn(500,1);]; % call the routine,
which has been
saved in the...
-
initialize weights and
biases w1 = np.random.
randn(n_input, n_hidden) b1 = np.zeros((1, n_hidden)) w2 = np.random.
randn(n_hidden, 1) b2 = np.zeros((1, 1)) # 2...
-
Introduction to
Optimum Design. Elsevier. ISBN 978-0-08-047025-2.
Matlab randn do****entation. mathworks.com. ?potrf Intel® Math
Kernel Library [1] Fang...
-
published in New York and
Montreal in 1921. His
first poetry collection, Bay di
randn (Yiddish: בײַ די ראַנדן, lit. 'On the Edges'), was
published in New York...
- x=sin(linspace(0,4*pi,N))'; %
tracked signal for ii=1:256 %
number of
replicates n =
randn(N,1); %
random noise actual_noise = actual_noise+n; if (mod(ii,2)) even...
- chiN=N^0.5*(1-1/(4*N)+1/(21*N^2)); %
expectation of % ||N(0,I)|| == norm(
randn(N,1)) % --------------------
Generation Loop --------------------------------...
