Python code to demonstrate the example of np.linspace() vs np.arange() methods# Import numpy import numpy as np # Using linspace print("linspace:\n",np.linspace(0,1,11),"\n") # Using arange print("arange:\n",np.
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Quebec, Canada. It was the first widely used Framework. It is a Python library that helps in multi-dimensional arrays for mathematical operations using Numpy or Scipy. Theano can use GPUs for faster computation, it also can automatically build symbolic graphs for computing gradients...
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a = torch.linspace(-math.pi, math.pi, 1500, device=device, datatype=datatype) b = torch.sin(a) m = torch.randn((), device=device, datatype=datatype, requires_grad=True) n = torch.randn((), device=device, datatype=datatype, requires_grad=True) ...
import numpy as np from IPython import get_ipython get_ipython().run_line_magic('matplotlib', 'inline') x = np.linspace(1, 100, 2) y = np.sin(x) plt.title('matplotlib inline in spyder') plt.plot(x, y, 'c:') matplotlib inline in spyder ...
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