andresn

Very specific and helpful advice from a high-level staffer for a Senator. Re-posting
There are two things that we should be doing all the time right now
--> You should NOT be bothering with online petitions or emailing.
YOU SHOULD MAKE 6 CALLS A DAY:
2 each (DC office and your local office) to your 2 Senators and congressperson. 
Calls are what all the congresspeople pay attention to. Every single day, the Senior Staff and the Senator get a report of the 3 most-called-about topics for that day at each of their offices (in DC and local offices), and exactly how many people said what about each of those topics. They're also sorted by zip code and area code. She said that Republican callers generally outnumber Democrat callers 4-1, and when it's a particular issue that single-issue-voters pay attention to (like gun control, or planned parenthood funding, etc...), it's often closer to 11-1, and that's recently pushed Republican congressmen on the fence to vote with the Republicans. In the last 8 years, Republican

andresn

"""
Test your network here!

No need to change this code, but feel free to tweak it
to test your network!

Make your changes to backward method of the Sigmoid class in miniflow.py
"""

import numpy as np

andresn

"""
Implement the backward method of the Sigmoid node.
"""
import numpy as np


class Node(object):
    """
    Base class for nodes in the network.

andresn

Traceback (most recent call last):
  File "//anaconda/envs/intro-to-rnns/lib/python3.6/runpy.py", line 183, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File "//anaconda/envs/intro-to-rnns/lib/python3.6/runpy.py", line 109, in _get_module_details
    __import__(pkg_name)
  File "/Users/andresn/dev/machine-learning/deep-learning/intro-to-rnns/Anna_KaRNNa.py", line 350, in <module>
    feed_dict = feed
  File "//anaconda/envs/intro-to-rnns/lib/python3.6/site-packages/tensorflow/python/debug/wrappers/framework.py", line 394, in run
    self._run_call_count))
  File "//anaconda/envs/intro-to-rnns/lib/python3.6/site-packages/tensorflow/python/debug/wrappers/local_cli_wrapper.py", line 187, in on_run_start

andresn

'use strict';
import React from 'react';
import {
	AppRegistry,
	View,
	PickerIOS,
	StyleSheet
} from 'react-native';

export default class TimePicker extends React.Component {

andresn

Try working off of something like this: https://jsfiddle.net/drdrace/4f71vw3u/2/

This would be a more efficient way of having only one img element, since you don't have to cause the browser to "repaint" every time you insert a new img element via innerHTML:
https://jsfiddle.net/drdrace/4f71vw3u/11/

andresn

An exploration of the different render methods available in react-enzyme.