Shyamal Vaderia svaderia

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GROKKING NOTES

I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

Pattern: Sliding Window

link

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

Perceptron learning algorithm.

Perceptron model contains only input layer and output layer, so it doesn't contain any hidden layers. Output layer consist of only one binary threshold unit. So for now perceptron can only do binary classification.

Learning Algo:

If the output unit is correct, leave the weights as it is.
If the output unit incorrectly outputs 0, add the input vector to the weights.
If the output unit incorrectly outputs 1, substract the input vector from the weights.

This is guaranteed to find the weights that gets the right answer, if such set of weights exists.

	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward

	"""Toy code for

	http://stackoverflow.com/questions/2150108/efficient-way-to-shift-a-list-in-python

	Example results of timeAll on my system with Python 2.6.4:

	{'shiftCopy': 50.579999999999984,
	'shiftExtend': 3.4200000000000017,
	'shiftInPlace': 3.4099999999999966,
	'shifted': 95.409999999999997}