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@cburgdorf
cburgdorf / xor_keras.py
Last active November 18, 2020 11:23
Comparing XOR between tensorflow and keras
import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense
training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
target_data = np.array([[0],[1],[1],[0]], "float32")
model = Sequential()
model.add(Dense(32, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
@0xjjpa
0xjjpa / chrome.md
Created December 9, 2012 04:37
Understanding Google Chrome Extensions

#Introduction

Developing Chrome Extensions is REALLY fun if you are a Front End engineer. If you, however, struggle with visualizing the architecture of an application, then developing a Chrome Extension is going to bite your butt multiple times due the amount of excessive components the extension works with. Here are some pointers in how to start, what problems I encounter and how to avoid them.

Note: I'm not covering chrome package apps, which although similar, work in a different way. I also won't cover the page options api neither the new brand event pages. What I explain covers most basic chrome applications and should be enough to get you started.

Table of Contents

  1. Understand the Chrome Architecture
  2. Understand the Tabs-Extension Relationship
  3. Picking the right interface for the job