Gautam Sreekumar gautamsreekumar
gautamsreekumar
/ mean_stdvariation.py
Created
January 28, 2020 20:18
An example to calculate mean and standard deviation for a frequency distribution table
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| # directly listing all the midpoints of the interval using np.linspace | |
| midpoints = np.linspace(5, 95, 10) | |
| # frequency of each interval | |
| freq = np.array([0, 5, 315, 1606, 3105, 2935, 1500, 324, 21, 0]) | |
| # elementwise product to get midpoint*frequency |
gautamsreekumar
/ complex_cnn
Last active
March 11, 2019 08:18
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| def initi(var_shape): | |
| real_part = nprand.rand(var_shape[0], var_shape[1], var_shape[2], var_shape[3]) | |
| imag_part = nprand.rand(var_shape[0], var_shape[1], var_shape[2], var_shape[3]) | |
| return tf.constant_initializer(real_part + imag_part*1.0j) | |
| def lrelu(tensor_in): # this is not leaky-relu | |
| temp_real = tf.real(tensor_in) | |
| temp_imag = tf.imag(tensor_in) | |
| return tf.complex(temp_real, temp_imag) |