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From YouTube: SimPEG meeting 2018/04/24
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A
I
hate
people
just
quick
question:
yes,
hi
yeah
I
saw
it
looks
pretty
good,
so
basically
met
John
and
grabbed
John
recovered
a
sharp
boundary
which
is
pretty
nice.
So
did
you
only
use
a
patch
of
physical
information
or
we
also
have
some
sort
of
like
a
now
l2
norm.
Thank
you,
okay,
what
so?
What
type
of
normal
yeah?
So
you
used
like
a
physical
information
you
all
like
now,
l2
regularization.
B
A
B
And
after
that,
I
have
a
few
like.
Let's
have
a
few
tricks
on
my
sleeves,
for
example,
when
when
every
which,
when
I,
when
I,
which
like
a
stable
reference
model
like
it's,
not
changing
anymore,
because
that's
what
it's
happening
like
in
dou
Z.
What
is
that
I'm?
Changing
the
reference
model
along
the
way
at
each
situation
and
when,
when
the
reference
model
I
can
for
the
last
step
like
when
I
went,
the
reference
model
is
not
changing
at
all.
B
I
include
that
reference
model
into
smooth
test,
so
you
can
effect
highlight
this
sharp
boundaries
that
will
be
covered
in
the
smallness
right.
But
this
sharp
boundary
like
I
got
it.
I
got
it
during
the
inversion
and
the
reference
model
in
Z.
The
smoothness
is
actually
just
a
final
trick
at
the
end
to
like
to
speed
up
the
convergence,
but
that's
that's
like
actually
not
nothing
completely
necessary.
A
B
So
for
this
type
of
wizard,
the
things
like
it,
you
do
a
jumped
inversion
like
we
need
some
sort
of
link
between
the
two
and
we
do
that
to
the
petrol
physics
and
even
for
this
act
we
try
to
cluster,
but
we
like
we
need
some
like.
We
need
to
actually
put
some
like
additional
information
in
the
Indian
version,
cause
that
so
and
so
like
that's,
where
there
is
a
bit
for
physics
using
your
abortion,
make
sure
it
is
used,
so
just
as
I
just
had
a
quick
snippet.
B
That's,
for
example,
that's
my
representation
of
the
simple
property.
So
it's
a
Goshen
make
sure
if
interest
a
weighted
sum
or
brochure.
So,
for
example,
here
is
like
five.
Two
physical
property
and
I
have
two
units
that
will
be
the
portion
that
or
like
you
can
or
like
in
1d.
That
particular,
but
watching
will
looks
like
that's
like
it
has
a
slice
so
like,
and
every
slice
would
be
motion
to
this
and
here's
like
what
I
call
cluster
one,
because
that
will
basically
be
like
each
of
the
work
gives
up
in
people
the
work
unit.
B
My
initial
geophysical
model
theta
naught
here
is
that
is
for
how
I
present
my
feet
with
my
petrol
physical
model.
So
if
we
don't
have,
if
we
are,
if
we
have
none,
just
like
like
it's
just
like
no,
no,
what
whatever
it
is,
you're
gonna,
be
using
the
inversion
and
then
not
is
my
my
membership.
So
it's
been
it's
a
variable.
That's
hold
scaling
like
which
tell
you
belong
to
which
work
in
it.
B
So
also
in
the
no
more
inversion
we
laugh
like
we
usually
spots
are
for
my
heart
space,
so
that
cell
not
will
be
just
okay
background
everywhere.
I
will
not
good,
actually
change
it
so,
and
then
we
we
do
no
more
inverter
and
we
have
some
geophysical
data
and
we
use
a
great
like
a
gradient
method
on
our
on
our
cognitive
function,
on
our
ability,
function,
Phi
and
we
step,
and
we
check
our
stopping
criteria
and
we
drove
over
that
until
we
we're
in
just
of
impact
area,
and
we
have
a
final
output.
B
So
in
the
normal
case
of
little
m.
But
here
my
interest
is
like
to
recover
the
geophysical
model.
M
I
want
to
also
recover
a
critical
physical
model
like
why
I'm
doing
that
is
that
I?
Don't
assume
that
I
have
a
perfect
knowledge
of
Aldo
over
over
an
area
so
I
that
I
use
this
prior
information
as
a
fire,
like
as
your
other
one
small,
so
I'm
also
fitting
along
the
way
the
political
data
and
I'd
like
to
be
had
because
you
you're
bringing
your
clustering
slowly
after
each
situation.
B
Instead
of
trying
to
like
what,
like
some
hot
pops
when
you're
bringing
it
to
the
to
address
the
sort
of
trance
loli
through
the
iteration
and
I'm
and
I
also
interest
into
having
to
recover
this
membership
classification,
which,
if
you
want,
is
my
Canadian
cuisine
geological,
a
quasi
geological
model
like
this
cell,
be
like
we,
we
find
that
this
cell
belong
to
work
in
it
once
a
cell
right
below,
belong
to
working.
It
too.
B
So
the
very
first
step
and
we're
gonna
see
here
is
that
after
each
gradient,
stepper
have
to
occur
in
each
situation,
so
I
got
a
certain
theoretical
model
at
the
setup
step
and
I
want
to
cross
to
cross
it
with
my
feet
for
physical
data
that
I
got
prior
and
with
this
book
these
two
information,
I'm
gonna
I'm
gonna-
be
the
new
political
model
that
they
can
work
on
post,
my
prior
knowledge
and
QN
Gorge
geological
model.
So,
let's
put
it
looks
like,
for
example,
in
in
pin
one
before
that
step.
B
So
even
gray,
that's
my
prior
knowledge
of
the
data.
That's
what
I
wanted
to
look
like
in
blue
here.
That's
my
Easter!
Welcome
of
my
current
jew-jew
critical
mode
or
at
a
certain
direction,
and
and
and
so
the
distribution
I'm
gonna
use
is
going
to
be
the
one
in
black.
So
that's
gonna
be
like
it
needs
to
be
between
the
fuchsia
like
so
like
the
concept
is
very
simple,
but
then,
after
that
inversion,
you
have
actually
a
lot
of
flexibility
that
each
parameters
of
the
ocean
has
its
own
way.
B
A
B
The
blue,
the
blue,
is
the
bluest
Oh
grams
yeah.
So
that's
the
likely
hood.
That's
so
that's
so
that's
the
istagram
of
the
of
the
model
and
yeah.
That's.
How
is
that
correspond
to
the
likelihood
portion
of
my
of
the
of
the
objective
function?
I
fit
for
that
and
then
yeah
the
Trier
is
the
tire
is
the,
and
so
the
posterior
estimation
is
like
so
like
the
map
eeehm
here
that
mean
maximum
a
posteriori
expectation,
that's
what
it
is
or
like
really
lucky
as
a
posterior
estimation,
how
long
they
got
an
e/m
is.
C
B
So
in
yeah,
I'm
not
talking
about
uncertainties
but
I'm
talking
about
confidence
interval,
that's
so
so,
if
you
want
from
each
parameter
it's
it's,
it's
come
down
to
a
weighted
average
of
the
parameter
and
so
how
you
weight.
That
is
how
much
confident
you
are
and
the
way
I've
set
it
up.
It's
it's
fairly,
simple!
Is
that
if
you
put
the
confidence
of
one,
is
that
you
you
trust
as
much
your
geophysical
model
as
your
prior
data
and
if
you
would.
C
D
B
Have
yeah
wait
for
that?
So
yeah
you
have.
That's,
that's
a
that's
a
that's
a
user
into
the
same
that
how
much
you
have
it.
So
what's
your
ID,
for
is
one
like
like
saying
that,
oh
like,
if
I
am
lucky
like
in
the
synthetic
world,
is
like.
Oh,
it
was
asthmatic
your
physical
data
as
as
the
geophysical
data,
as
my
as
my
petrol,
petrol
physical,
because
in
synthetic
like
all
all
the
name,
a
kind
of
true,
so
you
know
you
know
them
very
well.
B
But
again
you
can
defeat,
retain
down
things
like
and
you
can
really
each
one
can
be
weight
is
directly.
So
if
you
each
you
just
know
the
mean,
but
none
of
the
other
parameter.
You
can
have
a
cure.
Some
some
confidence
in
the
mean.
Instead,
if
everything
gets
to
zero
or
like
or
you
can
even
just
eat
like
something
I've
tried,
so
some
time
is
like
you
only
constrained
on
the
curve.
B
I
am
so
you're
saying
I,
don't
know
anything
about
the
mean
of
my
units
but
I
ones
end
or,
if
I
want
them
to
be
fairly
tight.
So
you
can
I
trust
her,
but
you
don't
know
walk
around.
It
was
back
93
works
fairly.
Well
when
and
I
think
it's
come
down
with
its
like
when
I
do
the
thing
becomes
a
lot
like
when
I
think
the
video
strongly
when
you
only
come
spray
on
combines.
We
are
just
rolling
with.
B
So
so
that's
the
one
thing
that
it's
like
every
parameter
at
its
own
confidence,
and
so
you
can
definitely
about
just
check
when
the
confidence
is.
Why
so
that
black
curve
is
a
no.
You
have
the
example
right
here.
It's
the
confidence
of
what,
like
things,
are
like
just
an
average
50%
of
each
observe
each
of
the
family
like
each
like.
If
you
want,
so,
if
you
want
the
black
to
be
the
one
that
will
mean
an
incident
of
an
infinite
confidence
or
very
large
entities.
So
far
apart,
zero
that
black
ball.
A
D
B
C
I
think
correct
me:
if
I'm
wrong,
take
one
but
I
think
the
question
he's
getting
out
there
is.
How
are
you
like?
Is
there
a
beta
parameter
or
a
tuning
parameter?
That's
just
controlling
how
well
you
fit
your
head.
Your
physical
data
versus
the
geophysical
data
is
that
what
you
were
asking
tick,
one
yeah.
B
Pretty
much
yeah,
okay,
so
yeah.
It's
so
like
everything
happening,
those
in
the
smallness.
So
actually
your
objective
function
like
for
each
geophysical,
iteration
works
exactly
the
same
as
as
usual.
So
like
so
like
all
these
steps
that
I
do
I
will
be
able
also
to
built
it,
for
example
around
the
newbie
C
code.
B
So
I'd
like
there's
a
way
I
do
I,
do
that.
It's
actually
like
in
the
free
first
in
the
very
first
step,
I
do
as
usual.
I
do
a
bit
acting
like
I'm,
not
automating,
it
automating
it,
but
I'm
doing
it.
Some
sort
of
beta
cooling
because
I'm
trying
to
fit
the
geophysical
data
at
first
then
I'm,
actually
doing
a
beta
warming
a
bit
like
what
Dom
is
doing,
also
for
you
and
for
the
l1.
Try
it
for
two
to
push
your
clustering,
but
keeping
the
chipping.
The
data
missing
Lolo
was
a
geophysical
data
okay.
B
So
there
is
like
a
two-faced
thing
like
you,
first
go
down
in
beta
and
then
go
up
sitting
first
geophysical
data
and
sends
a
bit
of
equal
data,
but
the
clustering
is
also
happening,
like
I
will
have
an
animation
on
the
next
slide.
To
show
you
what's
happening,
okay,
so
so
so
that
this
step,
like
like
I'm,
updating
the
spiritual
physical
model
at
each
at
each
step
and
how
I
use
this
then
I.
How
I
use
is
black
black
pebble
actually
so
for.
B
I'm
going
to
attribute
one
of
the
them,
for
example,
and
then
I'm
gonna
change
the
smallness
weight
and
the
reference
model,
according
so
like
it
said
like
if
I
ever
said,
that
has
its
value
anywhere.
It's
gonna
be
like
the
mean
of
the
displacer
and
the
NZ
ends
to
the
smallest
weight
with
that
music
go
by.
B
So
that's
so
that's
so
let's!
This
is
the
next
step
like
where
I'm
saying,
like
oh
I,
need
to
update
my
my
membership,
my
job,
my
job,
let's
see
step
so
I'm
using
this
as
a
classification
and
I,
can
also
use
like
some
prior
information.
If
you
pretty
sure
that
a
certain
area,
we
don't
with
this
work
unit,
you
can
say,
oh
the
membership
for
this,
for
this
set
of
sign
in
speech
all
right.
Whatever
the
burning
fire
fight,
the
gonna.
Do
it's
gonna
be
this.
B
You
have
both
so
a
lot
of
this
work
that
could
be
having
like
a
mix
of
having
global
information.
Oh
I
know
my
book,
people
that
this
and
I
try
to
recover
model
with
this
range
of
non-convex
value,
and
you
try
to
look
at
you
pay
that,
but
you
can
also
include
also
on
top
of
that
local
deformation
books
propose
that
so
it's
a
bit
what
it
means
here,
but
I'm
thinking
what
I'm
showing
that,
so
everything
is
and
I
say,
I
put
into
small
neck,
so
it's
very
similar
to
what
we
use
it.
B
That's
in
that
one
of
the
main
may
said:
I
want
to
say
here:
I'm,
not
removing
I'm,
not
removing
anything.
If
you
were
doing
something
in
a
cheap
enough
style,
it's
likely
to
work
with
that
framework
to
and
and
I
would
make
sure
that
everything
is
enough
compatible
around
that
on
that
side.
I
keep
so
it
for
Grandma.
If
you
want
sensitively
waiting,
go
for
it,
detect
its
ends,
and
we
can
include
that
and
and
like
engine
and
from
the
geophysical
pure
physical
point
of
view.
B
D
B
But
I've
not
put
that
slide
here,
but
okay,
so,
but
your
group
you'll
probably
see
below
so
like
you
like
it,
so
actually
like
to
your
value,
but
then
like
you're,
probably
like
you,
so
you
want
to.
If
you
want
here,
you
want
to
really
like
maximizing
probability
and
you
have
a
really
low
poverty
so
that
when
I
show
up
just
in
the
value
of
your
function,
but
also
what
like
the
way
you
do
it
like
the
way
you
do
it.
It
is
so
it's
a
quadratic.
D
B
I,
am
you
know,
do
you
think?
So?
That's
the
difference
that
so
like
here
I
have
the
chicken
up
in
version
and
he
have
the
petrol
inverter
so
and
the
dash
is
done
to
the
anyway.
So
that's
a
different
situation.
So
that's
what
we
get
with
the
people
off,
but
fear
that
the
petrol.
So
here
you
see
that
I'm
changing
the
reference
model,
18
situation,
you
try
to
guy
guide
it,
and
so
that's
it.
So
here
that's
kind
of
like
the
Instagram,
so
here,
like
I,
have
really
like
really
narrow.
B
Yes,
so
I'm
not
looking
for
how
many
clusters
at
this
pond
there
ways
to
do
it,
I'm
just
I've,
not
dive
into
that
type
of
thing
yet
and
by
the
way
I
look
at
how
they
do
it.
I
fear
that
might
get
out
a
bit
of
hand
because
they
usually
it's
it's
usually
like.
They
start
from
a
laughs,
large
number
of
clusters,
and
then
you
you
decrease
it.
B
D
B
B
Not
too
much-
and
they
were
enough-
maybe
thing
that
I'm
not
optimized
at
some
point
like
as
I,
have
a
lot
of
global
and
local
information.
There
are
some
things
that
forming
the
mattress
and
like
to
visit
its
kind
of
activity
each
time
to
see.
Ok,
what's
go
in
formation
at
this
point
right,
so
I
have
a
lot
of
nesting.
Booth
might
be
able
to
optimize
somewhere,
but
I
wanted
something
that
work
at
the
beginning,
something
that
faster
at
least
I.
Don't
have
that
outside
for
would
be
fire
for
you.
B
So
that's
what
happening
handed
over
and
it's
easy
I
like
it
now
and
I
am
able
to
fit
it
to
different
different
likes
different
paintings
impact.
So
I
have
a
time
domain
exam
time
domain
yet
example
the
key
with
to
dv/dt
with
sensitive
new
way
away
from
them.
So
so
that's
the
sensitivity
with
with
mystic
enough
data
center
for
constrain
and
then
the
John
Swilly
Swilly
in
Berlin.
So.
C
B
Will
yeah
it
works?
It
works
much
better.
Well,
the
sensitivity,
we're
waiting
like
like
your
hands
example
without
the
sensitivity
we're
waiting
and
I'm
actually
I'm,
actually
just
getting
like
some
sort
of
like
it
still
sends
it
like
I,
will
still
get
some
banana
shape,
but
I
will
have
banana
shaped
cluster
into
the
model
recovered
at
the
top
okay.
So
it's
still
clusters,
but
it's
not
like.
You
definitely
see
the
banana
shape
of
the
sensitivity
still
so
so
it
is
oh
yeah.
B
D
B
I
tried
the
build
us
up
some
example,
but
like
not
really
really
optimized
or
really
playing
with
that's.
The
thing
is
like:
if
it's
wrong
like
yeah,
it's
not
like
you
cannot
like
it.
You're
gonna
have
issue
to
seek
upto
physical
data
like
you're,
not
gonna,
like
it's
going
to
be
hard
to
it's
going
to
be
hard
too
hard,
too
hard
to
fit,
so
that
so
like
so
so.
One
way
to
like
one
way
for
that
is
just
maybe
deep,
like
decrease
your
confidence
in
that
value.
B
Like
I'm
going
to
say,
that's
like
it,
you
might,
you
might
have
a
hard
times
and
achieving
the
truth
is
II
missed
it,
because
it's
gone
like
it's
gonna,
it's
gonna
try
to
bring
it
closer
and
closer.
Even
if
you,
if
you
don't,
if
you
don't
like
like
an
Enzo
in
from
the
petrol
physical,
the
physical
data
in
my
heart,
like
with
your
model
here
and
then
what
you
want
to
bring
in
in
here,
so
it's
you.
It
might
say
that
your
people,
like
your
misfits
canal-
it's
not
that!
B
So
let's
work
one
way,
and
it's
also
like
it's.
It's
like
I
mean
almost
like
an
inverse
problem.
It's
like
kind
of
the
same
setup.
This
like
a
like
a
posterior
estimation,
so
you're
my
life.
So,
like
said,
Amy
here
is
like
you're,
like
you
or
your
dad
on
his
feet
and
you
have
a
prior,
which
is
no
small,
Ness
and
wait.
Is
it
Russell,
like
you
like
issue?
If
you
stuck,
you
can
think
of
doing
same
thing
as
like
a
light
like
a
bed,
a
cooling
but
decrease
of
you
like.
B
As
soon
as
you
go
along
with
inversion,
you
try
to
decrease
your
confidence
to
the
right.
You
start
to
decrease
your
confidence
into
the
paper
clip
or
fire,
but
you
increase
your
confidence
into
the
ice-cold
coca-cola
followed,
that's
something
you
can
do
it
just
like
it's
possible.
They
means
just
a
lot
of
and
I'm
implemented.
It's
just
like
a
lot
of
moving
piece.
So
I
guess
it's
possible,
but
then,
after
that,
it's
like
up
to
the
user
or
langostino
user.
B
B
I
once
said,
I
will
address
the
phone
with
confidence
because,
like
Jupiter
physical
data,
it's
true,
your
data,
like
it
comes
mainly
from
yeah,
holds
like
hose
information
for
whole
cohort
survey
or
lab
measurement.
So
it's
not
like
you
can
defeat.
You
can
defeat.
Please
switch
changing
a
bit,
but
my
first
tribe
would
be
a
lay
of
the
continent
because,
as
a
user,
that's
a
user
parameter
more
than
sir,
more
than
the
more
that
more
than
that
more
than
the
data.
B
D
B
If,
when
you
do
is
the
to
come
of
values,
you
have
to
be
possibly
look
like
your
membership
and
know,
let's
put
a
central,
the
gem
in
your
your.
Even
the
service
followed.
We
don't
have
like
always
with
something
I
do
not
know
another
value,
then
the
deacon
tikkun
of
spaniards.
You
have
one
cluster
with
mean
and
red
for
violence,
whatever
weight
you
put
in
we're,
not
changing
it
and
but
justice
Alliance
it's
very
wide
and
you
try
to
find
something
like
a
motherless.
D
B
D
D
Hi
matters
where
scholars
I
think
that
you
may
get
the
sense
of
yeah
I'm,
not
sure,
that's
still
capturing
the
covariance
part
because
of
that,
but
because
I
know
hot
pockets.
I
can
also
get
both
medium
Valerie
answer.
There's
it's
kind
of
evening:
I,
don't
know
ecology
just
very
well
I'm
going!
Is
that
if
you
like
Cigna
and
then
you
wanna,
you
want
to
be
real
yeah.
C
Hey
sorry,
guys,
I
got
a
run,
so
thanks
Tebow
I'll
catch
up
with
you
guys
next
week
since
I.
B
B
Like
this
framework
is
like
how
to
go
further,
if
we
are
add
more
information,
I'm
not
trying
to
replace
the
tip
and
a
finger
at
it's
really
like,
okay,
in
fact,
if
I
have
an
area
with
a
lot
of
information
from
the
end
from
the
jewelry
side,
that's
one
thing:
that's
kind
of
my
next
step
is
that
how
I
need
to
this
purity
for
that
meal,
like
this
specification
I
can
I
can
do
a
lot
of
things
with
that
like
it's
also,
it's
like
it's.
Also,
it's
also
a
lot
of
programming
right
now.
B
The
way
I'm
doing
it
like
a
maximum
like
units
may
come
together.
I
can
also
do
a
fire,
perhaps
2004
a
tractor
or
relationship
information
between
the
things.
So,
like
that's,
the
things
that's
like
is
that
I
can
do
without
it's
like
feeling
very
deep,
but
yeah
like
if
you
wants
a
background
value
worth
reading,
why
we
depend
on
something
elephant
very
round,
maybe
first
he
was
the
background.
Value
puts
a
good
background
than
you
looks
like
something
for
you
kind
of
like
a
little.
D
B
D
B
B
B
D
B
B
B
You
Wednesday
what
inversion
you
can
do
the
same
here
like
if
you
don't
not
sure,
like
pick
certain
covariance
of
mean
value
with
Fixodent
announced
random
and
just
from
ICONic
the
resort
I'm.
Not
am.
I
don't
have
a
claim
that
you
run
this
algorithm
once
and
you
have
the
best
answer.
You
you,
you
do
Co
you
like.
It's
like
in
learning
like
we're.
Gonna
have
ready.
Yes,
multiple.
B
D
B
But
it's
a
waiting
waited
a
great
oh,
so
it's
like
you
have
to
observe
real
time
like,
like
plus
your
confidence,
find
your
fire
ring.
/
wonders,
you're,
confident
so
I
teach
you
that
you
have
this
product
of
that
confidence.
Fire
find
out
the
mean
value.
So
if
you
decrease
one
of
the
other
words
almost.
B
So
that's
why
it's
like
at
the
end
of
the
days
made
me
feel
like
almost
like
all
almost
the
same
but
at
if
you
have
something,
if
you
have
actually
information
from
the
people
that
aside
I
would
be
both
I.
Just
wanna
see
those
people
both
of
you
I
will
both
be
more
inclined
to
between
the
confidence.
But
if
it's
a
very
valuable
means
that
you
think,
because
we
did
a
panic
for
your
information
on
that
than
in
rhythm
I
would
make
a
change
to
that
values.
B
B
B
B
Let's
will
be
the
next
step,
but
like
there
is
a
lot
yeah,
there's
a
be
the
laws
of
parameter.
That's
end,
that's
ended!
That's
a
little
better.
It's
not
no
fun
like
yeah,
it's
more
parameter!
That
comes
because
you
had
little
information.
I,
don't
add
parameters
on
the
side
like
beyond
on
the
new
physical
side,
young
you're
reading
through
the
other
parameter,
because
that
is
a
big
strain
we
do
the
same,
but
we
animal
diagram
or
common
triplets
I
can
I
cannot
go
against
that.
C
B
We
like
some
playing,
he
is
like
I,
wasn't
even
like
if
it's
a
win
model,
but
it
was
basically
said
like
we
I
was
doing
it
thick
enough.
Inversion
like
that
was
a
Goshen,
but
I
can
also
compose
distortion
with
that.
I
can
have
each
of
my
ocean
to
have
its
own
mapping.
Okay,
so
then
I
can
have
like
cubic
of
quadratic
relationship,
or
so
it
doesn't
party
Chris
good
to
say
that
we
we
assumed
version,
but
in
some
space
an
effective
nonlinear.
D
B
Yeah,
if
I
can
just
yeah
like
maybe
like
in
a
very
very
quick
way
range,
but
yes,
so
so,
yes,
so
I
have
like
a
classical
regularization
and
I
have
like
that.
Now
it's
like
a
like
a
paid-for,
smallness
class
and
I
did
a
bit
like
what
did
we
see,
keep
it
up
and
simples
like
with
no
smallness,
and
it's
going
very
different.
A
Gregorian
whites,
simple
creatures,
polite
that
doesn't
take
the
quarry.
I
prefer
someone
with
no
value
but
I.
Just
I
just
tried
to
dial
or
slow
the
development.
D
That
we
probably
wrap
it
up
yes
and
just
got
a
question
of
like
boots.
Please
is
it
structures
like
yeah,
so
let's
say
you're
grounding
that
cause
it's
thicker
regularization
or
like
a
different
regulation,
pressing
here,
plumbing
that
out
music
Macomb,
look
at
the
function
or
like
a
year,
you're
like
it
like
your
big.
B
Alpha
now,
like
so
the
first
way,
I
implemented
that
was
having
the
virtualization
to
take
it.
All
so
I
was
like
so
I
was
using
like
so
in
my
objective
function
have
the
smallness,
which
takes
a
role
model,
all
the
properties,
and
then
I
was
adding
the
separate
smoothness
for
each
two
people
properties.
So
problem
with
that
implementation
is
that
it's
in
each
commodity
function.
B
You
have
one
at
Phi
exponent
by
Y,
so
I
was
a
train
would
send
alpha
for
each
Muslim,
which
is
a
big
of
an
issue
because
pineapple
grab
and
like
the
scale
of
each
property
completely,
although
when
you're
on
alpha
I'm,
a
gradient
of
people,
property
I
resent
alpha
time
the
gradient
of
a
note
of
the
other
people
property.
So
one
one
of
them
it
smooth
life,
is
actually
not
like
a
like
an
over
from
compared
to
others.
B
B
E
B
Utility
duties
that
make
people
organization
and
what
is
a
quick
thing:
that's
how
I
put
your
website
and
body
Delta
to
the
wood
which
it's
a
combo
effective,
but
it's
the
first
time
in
the
small
nest
that
takes
a
role
model
up
with
all
the
physical
properties
and
then
our
raring.
This
moves
431.
So
like
this
one
sentence
or
add
2
spoon
site
for
the
book,
51
and
press
and
all
those
who
fight
for
the
pocket.
So
I
can
be
a
dream
like
like
I'm,
deep
into
really
combo
like
a
rank.
D
B
That
in
something,
but
just
like
this,
like
when
you
dig
up
in
the
realization
class
that
would
that
would
require
I
require
to
define
that
for
indium
in
your
little
function
to
add
regularization
the
final
for
regularization
dot,
simple
regularization
got
like
two
possible
realization
of
simple
reserve
ways.
You
had
seen
Dean
deputy
function
in
third
class
in
the
regression
test.
It's
written
for
me
to
tie
a
prayer
each
time
with
the
next
layer,
where
the
alphas
that,
if
you
add
stable
realisation
class,
they
don't
have
right
back
rank
the
regularization
got
simple.
D
B
B
The
plus,
like
then,
we'll
need
suppliers
up
taken
from
that
addition.
There
is
not
like
they're
like
built
on
one
without
to
do
that.
Sweet
like
there's
nothing
to
buy
your
prayers,
I
liked
it,
so
they
like
that.
So
much
sunshine
is
a
very
good
idea.
I'm
glad
that's
prevent
you.
I
can
create
a
combo
of
active
as
me
as
a
class
I.
D
B
Up
with
mine
from
the
different
they're
like
to
rewrite
something,
because
I
was
breaking
some
assumption
of
the
combo
technique
like
there,
for
example,
so
for,
for
example,
like
small
knife.
Now
it
takes
it
over
the
to
deport
property,
but
each
smooth
nights
like
one
two,
four,
four
one:
three
go
to
another
time,
so
my
like
each
time
of
night,
so
they
don't
have
the
same
mapping
but
we'll
assume
that
realization
everything
as
the
same
mapping
or
the
time.
It's
not
the
case
for
him.