=
Reading DeepLearning Papers
=
-
Effi
Careerttdvice
-
"
-
Don 't
do
worry
not
about it if
understand
-
-
you
"
Andrew
Ng
⑧
Yousef Murad
jouse.fm 2
i
Stepstotake
1
Compile
.
2
.
list
a
Skip around
of
papers
(ArXiv , Medium
Github
, Blogs
,
.
.
)
List
THAN
# papers
A
④
{=I
.
#
-
continue with
-
skip
bad
Example
:
good ones
ones
paper €2 )
A
2
-
-
-
1
¥
0%
→
?
10%
10% of
each
paper
Decide what papers
readlander stood
first ?
are
GOODIE BAD
-
-
Btningofa
i
r
r
l
l
5peperso#
l
l
0¥00papers
↳
Very good
understanding
of
a
l
F
topic
Paget
-
How To
Read l paper -
-
SeTipfromAnd→
:
Always have papers in your
•
backpack
that
you
can
read !
Iip#I
multiple passes
Take
through the
Read Title / Abstract /
uh
sometimes enough
→
Intro
miz
Figures
get
to
Conclusion
+
.
paper
a
?
good understanding
Figures
+
(again
more
clearly )
t
skim rest
"
•
Related work
"
→
3
.
mum
IL
.
sometimes
→
(174%5%2)
skip at beginning
really hard
to understand
Tf
Read BUT Skip Math
#
g
Read
ohole
thing BBT ship parts that
don't make
sense
-
*
"
Great research
that
publishing things
means
at the boundaries of
are
knowledge
→
if
you
try to get through
simply
can
go
have
ahead
a
( prioritize
closer
but
for
look
your
not unusual !
at
"
-
a
Andrew
lot
deep
that
timeT
)
our
of
Ng
papers
research
you
stuff
/Paget
When You Read and Understood a Paper
-
A What
.
2 What
.
3
.
What
try to
did the authors
were
can
the
key
you
=
-
accomplish ?
elements of that approach ?
use
?
yourself
4.whatotedoyouwmtow.LY#sofIapersi
÷÷÷÷÷÷÷
t.us#.*
.
1-1
I
I Coriferenes ,
-
Nips tan ¥cLR
T
y
Ty
Tf
IPaget
Math
-
Derive from scratch
↳
like
( Time
an
student
artist
copying
masters
though)
consuming
¥
-
Run
→
-
open
source
Deepe#
Learn
:
code
RE IMPLEMENT
Steadily
-
(2
-
3
IT FROM SCRATCH
papaw
)
over
gear
→noshortborstsAndrewsLifeAdu
things
choose
-
&
-
that allow you to work
on
teasing
the
M£2
do
whatever
you
imzgyprm
will learn
.
work
in
early
Tff
your
career
will
pay off
|PaTe4
careerA-dvice-Navigatei.nl#
Goal
-
•
Job ( big
company
or
startup )
•Ph#
Do important work ?
1 How to
get
.
2
.
Select
a
position
a
position
WHAT DO RECRUITERS LOOK FOR?
-
-
skills ( ML quiz
meaningful work
,
coding ability
(did
you
also
.
.
.
.
)
apply what you
)
learned?
i¥E¥÷÷÷÷÷:÷s÷÷÷::÷
MLIDL !
PGM
! NLPKV I
.
.
.
-
.
-
\
research
internships
/Page5-
HUI
a
•
Also
do not
depth
on
•
Doing
Just
1-
=
,
Courses
jump straight
day
l
1
into
,
✓
↳
"
Not terrible but also
not
•
¥t
-
Ll
Ll
Ll
tiny projects
Recruiters
-
not
l
significant one
-
>
FE
-
"
NOT impressed byvolume
are
-
17¥
l/
and
-
-
"
great
"
How to build
→
→
I✓
-
breadth ?
coursework?
readings
How to build depth ?
→
Relevant
Projects
-
I page 6
Saturday Herning Probtem
Read Paper
rags
~
?
Work
.
worked hard
Although having
→
Monday
↳
Research
on
"
:
no
Haven 't
short
-
:
.
.
Saturday & Sunday
"
got any
better in ML
term reward
"
Solution
Source
TV
vegs Open
ups
T
"
Consistency:
←
#
Selecting Adobe
-
work with
great people
1
projects
4shared.yourfriends.tl/showyouyourfuhreg
-
focus
(10
-
Most
→
on
-
30
the team
'll interact with
persons )
influential
Don 't
you
:
focus
Manager
on
the brand ?
(Weale
)
correlation
|PageF
- Eggo: go
¥-1
¥
(
¥
-
s
300
person At team
good
choice ?
(
better
even
-
~>
he
care
if you
Rotation
(
hear
30
you
son
people)
know the
about
people
y
FL
Programs ¥5
Sta
→
different if
they say
you
join a specific team)
rotate and
can
-
1#
(
100 At
people
10,000
-
-
T
-
I very good
-
a Brand
not
People
company
well known
but excellent At
work
.
choice
-
of your Resume matters less & less
-
Andrew
"
Ng
1Page 8