GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
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""" | |
Vanilla Char-RNN using TensorFlow by Vinh Khuc (@knvinh). | |
Adapted from Karpathy's min-char-rnn.py | |
https://gist.github.com/karpathy/d4dee566867f8291f086 | |
Requires tensorflow>=1.0 | |
BSD License | |
""" | |
import random | |
import numpy as np | |
import tensorflow as tf |
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# 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 |
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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7 | |
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |