peterroelants

"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim
from tensorflow.contrib.learn import ModeKeys
from tensorflow.contrib.learn import learn_runner


# Show debugging output

dansileshi

import tensorflow as tf
import numpy as np

FC_SIZE = 1024
DTYPE = tf.float32


def _weight_variable(name, shape):
    return tf.get_variable(name, shape, DTYPE, tf.truncated_normal_initializer(stddev=0.1))

robphoenix

This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet

Useful Spacemacs commands

• SPC q q - quit
• SPC w / - split window vertically
• SPC w - - split window horizontally
• SPC 1 - switch to window 1
• SPC 2 - switch to window 2
• SPC w c - delete current window

isomorphisms

High-dimensional Euclidean space is ℝ×ℝ×ℝ×ℝ×ℝ×…. Cartesian product of many continuous quantities.

[](http://www.jqueryscript.net/slider/Create-A-Simple-iOS-Style-Slider-with-jQuery-CSS-UI-Slider.html "You are probably most familiar with “arbitrary-dimensional spaces” as “sliders”. Interesting that in the CSS / jQuery world the way it looks takes precedence over what it does. If only I could rework the logic of every slider on the planet……mayb

matsuken92

import numpy as np
import matplotlib.pyplot as plt
from moviepy.editor import *
from matplotlib import animation as ani

sigma = 1
mu     = 3

def norm_dist_neg(x):
    return -1./(np.sqrt(2 * np.pi) * sigma)* np.exp(-0.5*((x-mu)**2)/((sigma**2)))