bstriner

from keras.optimizers import Adam
from keras import backend as K
from keras.datasets import mnist
from keras.utils.np_utils import to_categorical
from keras.metrics import categorical_accuracy
from keras.initializations import glorot_uniform, zero
import numpy as np

# inputs and targets are placeholders
input_dim = 28*28

zcaceres

How to Eyeball Your ‘This’ Context in Javascript

by zach.dev

The early programmer struggles with the Javascript keyword this. But understanding your this context is easier than it seems.

This is all about where a function is invoked. Often, early programmers worry about where the function was declared. Perhaps the function was declared in a specific file or a particular object. Surely this changes it's this!

Nope.

calclavia

import gym
import numpy as np

from keras.models import Model
from keras.layers import *
from keras import backend as K

from collections import deque

def one_hot(index, categories):

ByungSunBae

import tensorflow as tf
from tensorflow import layers
from tensorflow.contrib.layers import xavier_initializer

import gym
import numpy as np

from collections import deque
from collections import namedtuple

rauschma

Strings

String.prototype.*

None of the string methods modify this – they always return fresh strings.

• charAt(pos: number): string ^ES1

  Returns the character at index pos, as a string (JavaScript does not have a datatype for characters). str[i] is equivalent to str.charAt(i) and more concise (caveat: may not work on old engines).

tigershen23

def model(data):
  alpha = torch.tensor(6.0)
  beta = torch.tensor(10.0)
  pay_probs = pyro.sample('pay_probs', dist.Beta(alpha, beta).expand(3).independent(1))
  normalized_pay_probs = pay_probs / torch.sum(pay_probs)

  with pyro.iarange('data_loop', len(data)):
    pyro.sample('obs', dist.Categorical(probs=normalized_pay_probs), obs=data)

mwaskom

kauffmanes

Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.

This article is also on my blog, too.

Note: $ denotes the start of a command. Don't actually type this.

Steps to Install Anaconda on Windows Ubuntu Terminal

1. Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
2. Go to https://repo.continuum.io/archive to find the list of Anaconda releases
3. Select the release you want. I have a 64-bit computer, so I chose the latest release ending in x86_64.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Ana

mandieq

import plotly.plotly as py
import plotly.graph_objs as go
import plotly.figure_factory as ff
import plotly.offline as offline
import pandas as pd

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

talperetz