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Deadline Hollywood

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#WillKing Dies: #CNN Original Directed Coverage Of Soviet Union Breakup & Tiananmen Square
Will King, one of the so-called “CNN originals” who launched television’s first 24/7 television network on June 1, 1980, and remained with the operation until his 2014 retirement,…
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Lucas Goodwin

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jayson olson

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At least someone over at #CNN has the guts to admit that #DNC chairperson Wasserman Schultz needs to step down. She is clearly not neutral within her party, extremely arrogant, a Clinton puppet if there ever was one, and so out of touch with a large portion of her base I don't know how she speaks with a straight face half the time.

She is the #weakestlink
By any measure, Debbie Wasserman Schultz is a failed leader of the Democratic National Committee. It's past time for President Obama to ask her to step down.
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Glorious Lily

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Bill Kristol, Don Lemon and CNN

Bill Kistol, the editor of 'The Weekly Standard' responding to Don Lemon, the news anchor at CNN for 'CNN Tonight' said that he was unable to accept Mr. Donald Trump as a GOP nominee for President. He, like the Republican establishment dare to completely ignore the voice and say of the voters concerning politics, policies and issues facing them. Seems, that these guys are only concerned with promoting and meeting their selfish motives and interests through the elections. And the journalist Don Lemon seems to have no interest for reporting the truth. He always cuts the speakers, the supporters of Mr. Donald Trump, right in the middle of their speech without giving them the freedom to complete their sentence, and leave them hanging. Looking at the standards of CNN as a News media, it makes one wonder, how they continue in the media unless they are funded and supported by the corrupt muslims and democrats. It seems there's an immense need for a total overhaul and reformation, to clean up the corrupt base and bring them to justice.

#CNN #NewsMedia #Journalism #Truth #Politics #World #Presidency #Election
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Glorious Lily

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The Story and Rhetoric of CNN

The master minds at CNN are extremely good at making a mountain of a mole and turning a mole into a mountain. Instead of honest reporting, they try to manipulate their audience by twisting and turning the actual news. Either there are married to muslims or they have sold their morals and credibility as reporters. They try to screw up the sincere people and without any hesitation justify as well promote the corrupt politicians. What they're overlooking is the fact that they cannot fool the people all the time. There is a saying,
'You can fool all the people sometime;
You can fool some of the people all the time;
But you cannot fool all of the people all the time.'

Watch the CNN hosts and reporters closely and you'll see them adding or deleting information with their reporting and misguiding people. Wolf Blitzer, Christiane Amanpour are outstanding at this work. Seems as though they have lost all reason to think logically and discern the outcome of their doings. Who will believe somebody that keeps justifying a faith or the followers of that faith when their life and works prove otherwise? Selah!

#newsmedia #world #politics #journalism #cnn #workethics


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Frank D

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"How a bill becomes a wall"

#CNN   "Donald Trump has made building a wall along the entire border with Mexico a centerpiece of his presidential campaign. It's a project he insists won't require much hassle.
"Building a wall is easy, and it can be done inexpensively," Trump told The Washington Post last summer. "It's not even a difficult project if you know what you're doing.''
"Sure, humans have been building walls for thousands of years. The mere act of constructing one is pretty simple. But Trump is only half right; his wall will be a construction project borne of the United States federal government, a massive undertaking that will span thousands of miles, take years to build and require an incredible amount of political willpower and bureaucratic maneuvering."

by #ChrisMoody Video by #AlexanderRosen

source http://www.cnn.com/2016/05/09/politics/donald-trump-mexico-border-wall/index.html#



#Trump #DetailsMatter #ImWithHer #congress #budget #money #government #election2016 #DonaldTrump #Hillary2016  
https://www.youtube.com/watch?v=KOawRMJecuY
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Real-Time Sports App

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What is CNN Money saying about the Popularity of the NFL?

#nfl   #cnn   #money   #football   #fantasy  
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Fred “Seattle” O

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benita sanders's profile photoFred “Seattle” O's profile photo
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#CNN is the Fox Wannabe NUTwork.

Dwayne Fernandes

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EgyptAir Flight 804 vanishes from radar on its way from Paris to Cairo with 66 people aboard, the airline said.
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Glorious Lily

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The MARK of CNN and Obama, Clinton supporters; as well the MARK of atheists and evolutionists...
They tend to overlook or ignore the obvious flaws and traits of their candidates, and try to tear the skin to see underneath if they can find someting to come up against their opponents.

#CNN #Democrats #Atheists #Evolutionists #Obama #HillaryClinton #Lastdays #Endtimes #Tribulation #Abomination #Judgment #newsmedia #presidency #election
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De Gazet

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Come summer, it won't just be water flowing under the streets of the Belgian city of Bruges -- a two-mile pipeline exclusively for beer is under construction.
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Jimmy Kimmel Live

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Jimmy's VP announcement was broken by #CNN ! #JakeTapper   #DanaBash   #WolfBlitzer #Kimmel4VPOMG
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Gideon Heydemann's profile photoTrevor Simmonds's profile photoVirginia Benedict's profile photoErnesto Rivero's profile photo
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+Gideon Heydemann I think that he is joking...
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HGPU group

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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

(Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi)

#GPU #CUDA #DeepLearning #CNN

We propose a new method for training computationally efficient and compact convolutional neural networks (CNNs) using a novel sparse connection structure that resembles a tree root. Our sparse connection structure facilitates a significant reduction in computational cost and number of parameters of state-of-the-art deep CNNs without compromising accuracy. We validate our approach by using it to train more efficient variants of state-of-the-art CNN architectures, evaluated on the CIFAR10 and ILSVRC datasets. Our results show similar or higher accuracy than the baseline architectures with much less compute, as measured by CPU and GPU timings. For example, for ResNet 50, our model has 40% fewer parameters, 45% fewer floating point operations, and is 31% (12%) faster on a CPU (GPU). For the deeper ResNet 200 our model has 25% fewer floating point operations and 44% fewer parameters, while maintaining state-of-the-art accuracy. For GoogLeNet, our model has 7% fewer parameters and is 21% (16%) faster on a CPU (GPU).

http://hgpu.org/?p=15913
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