# 递归神经网络的不可思议的有效性

如果训练Vanilla神经网络是优化功能，那么训练递归神经网络则是优化程序。

RNN计算。那么这些是如何工作的呢？主要是，RNNs有一个非常简洁的API：它们将向量x作为输入，然后输出结果向量y.然而，关键的是这个输出向量的内容不仅受到前一次输入数据的影响，而且还会受整个历史输入数据的影响。这个API编写成了一个类，它由一个step方法构成：

rnn = RNN()

y = rnn.step(x) # x is an input vector, y is the RNN's output vector

RNN类有一些内部的状态，会在每一次调用 step方法的时候进行更新。最简单的情况是，这个状态由单个隐藏向量h构成。下面是Vanilla RNN中对step方法的一种实现：

classRNN:

# ...

def step(self, x):

# update the hidden state

self.h = np.tanh(np.dot(self.W_hh, self.h) + np.dot(self.W_xh, x))

# compute the output vector

y = np.dot(self.W_hy, self.h)

return y

y1 = rnn1.step(x)

y = rnn2.step(y1)

"The surprised in investors weren't going to raise money. I'm not the company with the time there are all interesting quickly, don't have to get off the same programmers. There's a super-angel round fundraising, why do you can do. If you have a different physical investment are become in people who reduced in a startup with the way to argument the acquirer could see them just that you're also the founders will part of users' affords that and an alternation to the idea. [2] Don't work at first member to see the way kids will seem in advance of a bad successful startup. And if you have to act the big company too."

"is that they were all the same thing that was a startup is that they were all the same thing that was a startup is that they were all the same thing that was a startup is that they were all the same"

PANDARUS:

Alas, I think he shall be come approached and the day

When little srain would be attain'd into being never fed,

And who is but a chain and subjects of his death,

I should not sleep.

Second Senator:

They are away this miseries, produced upon my soul,

Breaking and strongly should be buried, when I perish

The earth and thoughts of many states.

DUKE VINCENTIO:

Well, your wit is in the care of side and that.

Second Lord:

They would be ruled after this chamber, and

my fair nues begun out of the fact, to be conveyed,

Whose noble souls I'll have the heart of the wars.

Clown:

Come, sir, I will make did behold your worship.

VIOLA:

I'll drink it.

VIOLA:

Why, Salisbury must find his flesh and thought

That which I am not aps, not a man and in fire,

To show the reining of the raven and the wars

To grace my hand reproach within, and not a fair are hand,

That Caesar and my goodly father's world;

When I was heaven of presence and our fleets,

We spare with hours, but cut thy council I am great,

Murdered and by thy master's ready there

My power to give thee but so much as hell:

Some service in the noble bondman here,

Would show him to her wine.

KING LEAR:

O, if you were a feeble sight, the courtesy of your law,

Your sight and several breath, will wear the gods

With his heads, and my hands are wonder'd at the deeds,

Naturalism and decision for the majority of Arab countries' capitalide was grounded

by the Irish language by [[John Clair]], [[An Imperial Japanese Revolt]], associated

with Guangzham's sovereignty. His generals were the powerful ruler of the Portugal

in the [[Protestant Immineners]], which could be said to be directly in Cantonese

Communication, which followed a ceremony and set inspired prison, training. The

emperor travelled back to [[Antioch, Perth, October 25|21]] to note, the Kingdom

of Costa Rica, unsuccessful fashioned the [[Thrales]], [[Cynth's Dajoard]], known

in western [[Scotland]], near Italy to the conquest of India with the conflict.

Copyright was the succession of independence in the slop of Syrian influence that

was a famous German movement based on a more popular servicious, non-doctrinal

and sexual power post. Many governments recognize the military housing of the

[[Civil Liberalization and Infantry Resolution 265 National Party in Hungary]],

that is sympathetic to be to the [[Punjab Resolution]]

(PJS)[http://www.humah.yahoo.com/guardian.

cfm/7754800786d17551963s89.htm Official economics Adjoint for the Nazism, Montgomery

was swear to advance to the resources for those Socialism's rule,

was starting to signing a major tripad of aid exile.]]

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''www.e-complete''.

'''Seealso''':[[Listofethicalconsentprocessing]]

==Seealso==

*[[IenderdomeoftheED]]

*[[Anti-autism]]

===[[Religion|Religion]]===

*[[FrenchWritings]]

*[[Maria]]

*[[Revelation]]

*[[MountAgamul]]

*[http://www.romanology.com/ConstitutionoftheNetherlandsandHispanicCompetitionforBilabialandCommonwealthIndustry(RepublicanConstitutionoftheExtentoftheNetherlands)]

<page>

<title>Antichrist</title>

<id>865</id>

<revision>

<id>15900676</id>

<timestamp>2002-08-03T18:14:12Z</timestamp>

<contributor>

<id>23</id>

</contributor>

<minor />

<comment>Automated conversion</comment>

<text xml:space="preserve">#REDIRECT [[Christianity]]</text>

</revision>

</page>

\begin{proof}

We may assume that $\mathcal{I}$ is an abelian sheaf on $\mathcal{C}$.

\item Given a morphism $\Delta : \mathcal{F} \to \mathcal{I}$

is an injective and let $\mathfrak q$ be an abelian sheaf on $X$.

Let $\mathcal{F}$ be a fibered complex. Let $\mathcal{F}$ be a category.

\begin{enumerate}

\item \hyperref[setain-construction-phantom]{Lemma}

\label{lemma-characterize-quasi-finite}

Let $\mathcal{F}$ be an abelian quasi-coherent sheaf on $\mathcal{C}$.

Let $\mathcal{F}$ be a coherent $\mathcal{O}_X$-module. Then

$\mathcal{F}$ is an abelian catenary over $\mathcal{C}$.

\item The following are equivalent

\begin{enumerate}

\item $\mathcal{F}$ is an $\mathcal{O}_X$-module.

\end{lemma}

Linux源代码

/*

* Increment the size file of the new incorrect UI_FILTER group information

* of the size generatively.

*/

staticintindicate_policy(void)

{

int error;

if (fd == MARN_EPT) {

/*

* The kernel blank will coeld it to userspace.

*/

if (ss->segment < mem_total)

unblock_graph_and_set_blocked();

else

ret = 1;

goto bail;

}

selector = seg / 16;

setup_works = true;

for (i = 0; i < blocks; i++) {

seq = buf[i++];

bpf = bd->bd.next + i * search;

if (fd) {

current = blocked;

}

}

rw->name = "Getjbbregs";

bprm_self_clearl(&iv->version);

regs->new = blocks[(BPF_STATS << info->historidac)] | PFMR_CLOBATHINC_SECONDS << 12;

return segtable;

}

/*

* If this error is set, we will need anything right after that BSD.

*/

staticvoidaction_new_function(struct s_stat_info *wb)

{

unsignedlong flags;

int lel_idx_bit = e->edd, *sys & ~((unsignedlong) *FIRST_COMPAT);

buf[0] = 0xFFFFFFFF & (bit << 4);

min(inc, slist->bytes);

printk(KERN_WARNING "Memory allocated %02x/%02x, "

min(min(multi_run - s->len, max) * num_data_in),

frame_pos, sz + first_seg);

div_u64_w(val, inb_p);

spin_unlock(&disk->queue_lock);

mutex_unlock(&s->sock->mutex);

mutex_unlock(&func->mutex);

return disassemble(info->pending_bh);

}

staticvoidnum_serial_settings(struct tty_struct *tty)

{

if (tty == tty)

disable_single_st_p(dev);

pci_disable_spool(port);

return 0;

}

staticvoiddo_command(struct seq_file *m, void *v)

{

int column = 32 << (cmd[2] & 0x80);

if (state)

cmd = (int)(int_state ^ (in_8(&ch->ch_flags) & Cmd) ? 2 : 1);

else

seq = 1;

for (i = 0; i < 16; i++) {

if (k & (1 << 1))

pipe = (in_use & UMXTHREAD_UNCCA) +

((count & 0x00000000fffffff8) & 0x000000f) << 8;

if (count == 0)

sub(pid, ppc_md.kexec_handle, 0x20000000);

pipe_set_bytes(i, 0);

}

/* Free our user pages pointer to place camera if all dash */

subsystem_info = &of_changes[PAGE_SIZE];

rek_controls(offset, idx, &soffset);

/* Now we want to deliberately put it to device */

control_check_polarity(&context, val, 0);

for (i = 0; i < COUNTER; i++)

seq_puts(s, "policy ");

}

/*

*

*   This program is free software; you can redistribute it and/or modify it

* the Free Software Foundation.

*

*        This program is distributed in the hope that it will be useful,

* but WITHOUT ANY WARRANTY; without even the implied warranty of

*   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

*

*  GNU General Public License for more details.

*

*   You should have received a copy of the GNU General Public License

*    along with this program; if not, write to the Free Software Foundation,

*  Inc., 675 Mass Ave, Cambridge, MA 02139, USA.

*/

#include <linux/kexec.h>

#include <linux/errno.h>

#include <linux/io.h>

#include <linux/platform_device.h>

#include <linux/multi.h>

#include <linux/ckevent.h>

#include <asm/io.h>

#include <asm/prom.h>

#include <asm/e820.h>

#include <asm/system_info.h>

#include <asm/setew.h>

#include <asm/pgproto.h>

#define STACK_DDR(type)     (func)

#define SWAP_ALLOCATE(nr)     (e)

#define emulate_sigs()  arch_get_unaligned_child()

#define access_rw(TST)  asm volatile("movd %%esp, %0, %3" : : "r" (0));   \

staticvoid stat_PC_SEC __read_mostly offsetof(struct seq_argsqueue, \

pC>[1]);

staticvoid

os_prefix(unsignedlong sys)

{

#ifdef CONFIG_PREEMPT

PUT_PARAM_RAID(2, sel) = get_state_state();

set_pid_sum((unsignedlong)state, current_state_str(),

(unsignedlong)-1->lr_full; low;

}

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plia tklrgd t o idoe ns,smtt   h ne etie h,hregtrs nigtike,aoaenns lng

"Tmont thithey" fomesscerliund

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sheulke, anmerenith ol sivh I lalterthend Bleipile shuwy fil on aseterlome

coaniogennc Phe lism thond hon at. MeiDimorotion in ther thize."

we counter. He stutn co des. His stanted out one ofler that concossions and was 
to gearang reay Jotrets and with fre colt otf paitt thin wall. Which das stimn 

Aftair fall unsuch that the hall for Prince Velzonski's that me of
her hearly, and behs to so arwage fiving were to it beloge, pavu say falling misfort 
how, and Gogition is so overelical and ofter.

"Kite vouch!" he repeated by her

door. "But I would be done and quarts, feeling, then, son is people...."

"Why do what that day," replied Natasha, and wishing to himself the fact the
princess, Princess Mary was easier, fed in had oftened him.
Pierre aking his soul came to the packs and drove up his father-in-law women.

RNN预测结果和神经元激活可视化

1.       有许多功能（slicing,array/matrix等操作）的CPU / GPU透明的Tensor库。

2.       一个完全独立的代码库，它基于脚本语言（最好是 Python），工作在Tensors上，实现了所有深度学习方面的东西（前馈/后馈，图形计算等）。

3.       它应该可以轻松共享预训练模型（Caffe在这方面做的很好，其他几个则存在不足），这也是至关重要的。

4.       没有编译过程（或者说不要像Theano目前那样做）。深度学习是朝着更大更复杂的网络发展，所以在复杂图算法中花费的时间会成倍增加。重要的是，长时间或者是在开发阶段不进行编译所带来的影响是非常巨大的。而且，进行编译的话就会丢失可解释性和有效进行日志记录/调试的能力。如果为提高效率在图算法开发好后立即编译，那么这样做是可取的。

NLP/语音领域，RNNs 语音转录成文本 ，使用 机器翻译  生成手写文本 ，当然，它们已经被用来当做强大的语言模型（ Sutskever等人 ）（ Graves ）（ Mikolov等人 ）（都是在字符和单词层面）。目前看来，单词级的模型比字符级的模型要更好，但这肯定是暂时的。

关注模块的概念在最近的神经网络架构创新中是最有趣的。

I've the RNN with and works, but the computed with program of the 
RNN with and the computed of the RNN with with and the code

Videos:

·         I gave a talk on this work at the London Deep Learning meetup (video).

Discussions:

·         Reddit discussion on r/machinelearning

·         Reddit discussion on r/programming

Replies:

·         Yoav Goldberg compared these RNN results to n-gram maximum likelihood (counting) baseline

·         @nylk trained char-rnn on cooking recipes. They look great!

·         @MrChrisJohnson trained char-rnn on Eminem lyrics and then synthesized a rap song with robotic voice reading it out. Hilarious :)

·         @samim trained char-rnn on Obama Speeches. They look fun!

·         João Felipe trained char-rnn irish folk music and sampled music

·         Bob Sturm also trained char-rnn on music in ABC notation

·         Learning Holiness learning the Bible

·         Terminal.com snapshot that has char-rnn set up and ready to go in a browser-based virtual machine (thanks@samim)

posted @ 2016-09-10 22:32  yaoyaoliu  阅读(...)  评论(...编辑  收藏