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Advanced Functional Programming with Scala - Notes

Copyright © 2017 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

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CRUD with Ember (+ Data)

Ember's official documentation describes a number of low-level APIs, but doesn't talk much about how to put them together. As a result, a simple task such as creating a simple CRUD application is not obvious to a newcomer.

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#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/
import numpy as np
import random
from random import shuffle
import tensorflow as tf

import time
start = time.time()

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Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures

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import tensorflow as tf
import numpy as np
import os

import zconfig
import utils

class DenoisingAutoencoder(object):

    """ Implementation of Denoising Autoencoders using TensorFlow.

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import numpy as np

def gradient_descent_runner(points, starting_m, starting_b, learning_rate, num_iterations):
	m = starting_m
	b = starting_b
	
	for i in range(num_iterations):
		m, b = step_gradient(m, b, np.array(points), learning_rate)

	return m, b

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5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5.0,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5.0,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa

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#!/usr/bin/python
# -*- coding: utf-8 -*-

from __future__ import print_function

import MeCab
import sys
import string

sentence = "太郎はこの本を二郎を見た女性に渡した。"

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#! /usr/bin/python
# -*- encoding: utf-8 -*-
'''
Parser with MeCab
'''

import MeCab
import glob
import re
import os