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import logging | |
import multiprocessing | |
import time | |
import mplog | |
FORMAT = '%(asctime)s - %(processName)s - %(levelname)s - %(message)s' | |
logging.basicConfig(level=logging.DEBUG, format=FORMAT) | |
existing_logger = logging.getLogger('x') |
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import matplotlib.pyplot as plt | |
def draw_neural_net(ax, left, right, bottom, top, layer_sizes): | |
''' | |
Draw a neural network cartoon using matplotilb. | |
:usage: | |
>>> fig = plt.figure(figsize=(12, 12)) | |
>>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2]) | |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |