phương pháp nhanh hơn và không cần cài thêm package
code hoàn chỉnh:
import unicodedata
BANG_XOA_DAU = str.maketrans(| import os | |
| import sys | |
| import pandas as pd | |
| import numpy as np | |
| import matplotlib | |
| from matplotlib import pyplot as plt | |
| import seaborn as sns | |
| from IPython.core.display import display, HTML | 
| # vim ~/.tmux.conf | |
| # command prefix | |
| unbind C-b | |
| set-option -g prefix C-a | 
| package main | |
| import ( | |
| "fmt" | |
| "sync" | |
| "time" | |
| ) | |
| const concurrency = 3 | 
| { | |
| "keys": ["tab"], | |
| "command": "expand_abbreviation_by_tab", | |
| // put comma-separated syntax selectors for which | |
| // you want to expandEmmet abbreviations into "operand" key | |
| // instead of SCOPE_SELECTOR. | |
| // Examples: source.js, text.html - source | |
| "context": [ | |
| { | 
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
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