(sigh) Just another bad day for me.
What's got ya down, Charlie Brown?
I don't know.
I've got a headache.
I'm super anxious.
I can't sleep.
I just keep getting mad for no reason,
and my left arm is twitchin'.
You should see a Doctor, Charlie Brown.
(sigh) Maybe you're right.
(Upbeat Music)
I've got good news and bad news, Charlie Brown.
The good news is I'm the doctor.
The bad news is that you have CTE.
CTE, what's that?
Chronic Traumatic Encephalopathy.
Permanent Brain damage from repeated concussions.
Do you remember getting any concussions?
Hmmm...
Good grief.
CTE is a big problem, Charlie Brown.
What can be done?
Nothin'
(Crying)
Sorry, Charlie.
(sad music)
What's the news, Charlie Brown?
Not good.
What's that mean?
Donate my brain to science.
(gunshot)
For more infomation >> PEANUTS - Duration: 1:58.-------------------------------------------
Rihanna Has Girl Power on the Brain in Malawi I TMZ Live - Duration: 1:53.
HARVEY: WE WANT TO SHOW YOU
SOMETHING THAT I THINK EVERYBODY
CAN GET ON BOARD WITH.
>> SOMETHING VERY COOL.
HARVEY: THIS WILL REUNITE US.
CHARLES: RIHANNA HAS HAVEN'T
CLEARED IN MALAWI LAND.
SHE'S DOWN THERE WITH GLOBAL
CITIZEN AND BECOME AN AMBASSADOR
FOR A GLOBAL PARTNERSHIP FOR
EDUCATION.
HARVEY: TAKING IT SERIOUSLY.
IT IS NOT JUST A TITLE.
SHE WENT DOWN THERE AND SHE IS
ENGAGED WITH THE KIDS AND THE
WOMEN.
IT IS REALLY COOL.
>> IT IS SUPER AWESOME BECAUSE
SHE WAS JUST AT THE WOMEN'S
MARCH THIS PAST WEEKEND AND NOW
SHE'S KIND OF GOING THERE AND --
CHARLES: EMPOWERING YOUNG WOMEN.
MAKING SURE THEY FEEL LIKE THEY
HAVE A SHOT AT SUCCESS.
AND DOING HER PART TO HELP THEM
GET THERE.
>> SHE DIDN'T TALK TO ANY OF THE
YOUNG BOYS WHO HAVE LOVED TO SEE
HER?
HARVEY: WHAT IS WRONG WITH YOU
TODAY?
CHARLES: THE YOUNG BOYS WOULDN'T
BE THINKING OF EDUCATION.
HARVEY: YOU HAVE BEEN HITTING ON
EVERYONE.
>> I DIDN'T HIT ON EVERYONE.
CHARLES: THAT WAS A STRONG
HAPPEN BIRTHDAY.
-------------------------------------------
AARP Offers Free Tax Help for Kupuna - Duration: 2:20.
IT'S THAT TIME OF THE YEAR
AGAIN... TAX TIME!
AND ONCE AGAIN -- OUR GOOD
FRIENDS
AT AARP ARE DOING THEIR PART TO
GIVE
SERVICE.
WE WELCOME TERRY
HIGASHI...TAX AIDE AND
COMMUNICATIONS SPECIALIST...
WHAT ARE SOME CHANGES THAT
PEOPLE CAN EXPECT WHEN
15 falls on a Saturday and April
14 is a
expecting a tax refund who claim
the Earned
Income Tax credit will see their
checks delayed until after
AARP Foundation Tax-Aide is the
nation's
Hawaii and
runs through mid-April. Tax-Aide
is aimed at
people 50 plus who can't afford
to pay
someone else to do their taxes.
For
someone on a fixed income,
saving money
on taxes can make a big
WHAT DOCUMENTS SHOULD THEY
W-2
forms, mortgage interest, bank
interest
. ecetera. And also be sure to
bring your
KHON
KHON
KHON
KHON
KHON
KHON
KHON
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Killed for protecting their land - Duration: 1:41.
For more infomation >> Killed for protecting their land - Duration: 1:41. -------------------------------------------
How to generate DS2 / Way Bill for Delhi - Duration: 10:01.
Please like & share this video
Please subscribe my YouTube Channel
Please like & share this video
Please subscribe my YouTube Channel
Please like & share this video
-------------------------------------------
Deep Learning with Tensorflow - Applying Recurrent Networks to Language Modelling - Duration: 4:33.
Hello, and welcome.
In this video, we will explain what you need to know in order to apply recurrent neural
networks to language modelling.
Language modelling is a gateway into many exciting deep learning applications like speech
recognition, machine translation, and image captioning.
At its simplest, language modelling is the process of assigning probabilities to sequences
of words.
So for example, a language model could analyze a sequence of words, and predict which word
is most likely to follow.
So with the sequence "This is an" which you see here, a language model might predict that
the word "example" is most likely to follow, with an 80 percent probability.
This boils down to a sequential data analysis problem.
The sequence of words forms the context, and the most recent word is the input data.
Using these two pieces of information, you need to output both a predicted word, and
a new context that contains the input word.
Recurrent neural networks are a great fit for this type of problem.
At each time step, a recurrent net can receive a word as input and the current sequence of
words as the context.
After processing, the net can then form a new context and repeat the steps until the
sentence is complete.
The main metric for language modelling is known as perplexity.
Perplexity is a measure of how well the model is able to predict a sample.
Keep in mind that a low perplexity rating equates to a larger amount of confidence in
the prediction.
So we want our model to have as low of a perplexity rating as possible.
When it comes to actually training and testing a language model, you'll find that good datasets
are hard to come by.
Since the data points are words or sentences, the data has to be annotated, or at least
validated, by a human.
This is time consuming and typically constrains the dataset's size.
One of the biggest datasets for language modelling is the Penn Treebank.
The Penn Treebank was created by scholars at the University of Pennsylvania.
It holds over four million annotated words in many different types of classifications.
In order to build such a large dataset, all of the words were first tagged by machines,
and then validated and corrected by humans.
The data comes from many different sources, from papers published in the Department of
Energy, to excerpts from the Library of America.
As we mentioned, the Penn Treebank is the go-to dataset for language modelling, and
natural language processing in general.
The Penn Treebank is versatile, but if you're only interested in predicting words rather
than meaning or part of speech, then you don't need to use the tags in the dataset.
An interesting way to process words is through a structure known as a Word Embedding.
A word embedding is an n-dimensional vector of real numbers.
The vector is typically large, with n greater than 100.
The vector is also initialized randomly.
You can see what that might look like with the example here.
During the recurrent network's training, the vector values are updated based on the context
that the word is being inserted into.
So words that are used in similar contexts end up with similar positions in the vector space.
This can be visualized by utilizing a dimensionality-reduction algorithm, such as t-SNE.
Take a look at this example here.
Words are grouped together either because they're synonyms, or they're used in similar
places within a sentence.
The words "zero" and "none" are close semantically, so it's natural for them to be close together.
And while "Italy" and "Germany" aren't synonyms, they can be interchanged in several sentences
without distorting the grammar.
By now, you should understand the theory behind Language Modelling, the importance of the
Penn Treebank, and the application of recurrent nets to language problems.
Thank you for watching this video.
-------------------------------------------
How To Split Huge Logs for Firewood : Lumberjack Hacks - Duration: 1:11.
For more infomation >> How To Split Huge Logs for Firewood : Lumberjack Hacks - Duration: 1:11. -------------------------------------------
Babies don't need yoga | Workin' Moms - Duration: 0:53.
Yeah and if you want to bring one foot forward
into a lunge and a half-moon cresent.
And then come down for a boat pose.
Can we all be brave adults and just admit that babies don't need yoga?
Okay, we can move on to something else.
Who's got a new topic?
- I'm incontinent. - I'm pregnant.
(Excited gasps) Anne!
Congratulations, Anne!
Sheila, if you mind we'll revisit your incontinence
after we've talked about Anne's good news.
Sure.
-------------------------------------------
Inside KSC! for Jan. 30, 2017 - Duration: 1:26.
I'm NASA Kennedy's John Rigney, and I'm taking you Inside KSC
Boeing unveiled the new spacesuit astronauts will wear while flying missions aboard the
company's CST-100 Starliner.
The spacesuit is more flexible and comfortable than earlier versions such as the orange
launch-and-entry suit space shuttle astronauts wore.
Astronauts will wear the new suit during launch and through the flight to the
International Space Station.
After completing their station mission,
astronauts will don the suit again for the return to Earth.
Testing was completed on the Core Stage Forward Skirt Umbilical for NASA's Space
Launch System rocket.
The umbilical that will provide connections from the mobile launcher to the core stage
forward skirt of the SLS rocket, underwent four months of testing at the Launch
Equipment Test Facility in order to confirm its load limits, ability to disconnect before
liftoff, and overall function.
This achievement marks the halfway point for further umbilical checkouts.
NASA's Space Launch System rocket will launch with Orion atop on the first uncrewed
flight test from Launch Pad 39B.
Remember, Spaceport Magazine digs deeper Inside KSC.
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