A hundred years ago, humanity answered that very question, twice. In 1936, Alan invented the Turing Machine, which, highly inspired by the mechanical trend of the 20th century, distillated the common components of early computers into a single universal machine that, despite its simplicity, was capable of performing every computation conceivable. From simple numerical calculations to entire
Since v8.1 (May 2018), Vim has shipped with a built-in terminal. See https://vimhelp.org/terminal.txt.html or type :help terminal
for more info.
Why use this? Mainly because it saves you jumping to a separate terminal window. You can also use Vim commands to manipulate a shell session and easily transfer clipboard content between the terminal and files you're working on.
" Vim syntax file | |
" Language: Todo | |
" Maintainer: Huy Tran | |
" Latest Revision: 14 June 2020 | |
if exists("b:current_syntax") | |
finish | |
endif | |
" Custom conceal |
This is a guide to Vim Script development for Python developers. Sample code for the various expressions, statements, functions and programming constructs is shown in both Python and Vim Script. This is not intended to be a tutorial for developing Vim scripts. It is assumed that the reader is familiar with Python programming.
For an introduction to Vim Script development, refer to usr_41.txt, eval.txt and Learn Vimscript the Hard Way
For a guide similar to this one for JavaScript developers, refer to Vim Script for the JavaScripter
This guide only describes the programming constructs that are present in both Python and Vim. The constructs that are unique to Vim (e.g. autocommands, [key-mapping](https://vimhelp.org/map.txt.html#key-m
### JHW 2018 | |
import numpy as np | |
import umap | |
# This code from the excellent module at: | |
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module | |
import random |
#%% (0) Important libraries | |
import tensorflow as tf | |
import numpy as np | |
from numpy import random | |
import matplotlib.pyplot as plt | |
from IPython import display | |
% matplotlib inline | |
#%% (1) Dataset creation. |
This is the Keras model of VGG-Face.
It has been obtained through the following method:
- vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
- vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model
Details about the network architecture can be found in the following paper: