系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
觀看次數：363
about
the
new
tensor
tensor
flow
tensor
board
and
it's
it's
basically
a
megabyte
command-line
web
server
that
works
offline
and
tensor
board
can
be
used
tensor
board
is
the
scalers
interesting
underutilized
feature
um
called
the
embedding
projector
and
this
algorithms
like
t-sne
interactive
supervision
with
tensor
it's
called
the
beholder
plugin
and
this
tensor
board
also
has
some
new
plug-ins
for
optimization
cloud
recently
contributed
a
tpu
profiling
plugin
and
properly
utilized
now
the
tensor
board
you're
familiar
with
such
as
typescript
certain
urls
when
it's
downloading
board
team
wasn't
actually
visualizing
basil
which
helps
downloads
be
carrier-grade
internationally
and
there
there
are
a
tensor
boards
look
beautiful
offline
ping
fonts
googlecom
and
that
was
of
plugin
authors
now
I
want
to
give
you
debugger
and
with
the
help
of
cheesing
overviews
of
what's
happening
on
inside
chancellor
flowdde
debugger
plugin
does
x-ray
using
this
plugin
you
you
can
x-ray
is
what's
going
to
make
it
that's
why
we
call
it
an
x-ray
it
abstractions
we
love
such
as
kerris
or
troubleshooting
tool
so
i'd
like
to
introduce
its
authors
zhang
sheng
who
feature
plugin
for
10
support
among
many
know
tensorflow
debugger
or
tf
dbg
it's
the
graphical
user
interface
of
tft
vg
+
tf
dbg
has
had
only
a
command-line
command-line
interface
the
debugger
but
in
a
much
more
intuitive
interactive
and
richer
environment
in
a
browser
so
regression
using
some
generated
it's
at
the
matrix
multiplication
results
in
debugger
or
teleport
debugger
plugin
is
tensile
binary
with
a
special
flag
debug
url
in
the
browser
now
at
the
startup
for
connections
from
tensorflow
sessions
and
that's
because
we
haven't
started
are
using
tf
decesion
estimators
or
we
can
see
the
graphical
user
interface
sessions
are
run
is
currently
executing
corresponds
to
name
scopes
in
your
model
to
the
des
names
corresponds
to
the
the
gradients
name
scope
corresponds
to
the
backpropagation
parts
of
the
model
tensorflow
model
does
optimization
and
back
propagation
for
if
you
are
optimizer
you
can
continue
to
any
node
of
the
screen
you're
looking
succinct
summaries
of
the
chancellor
values
we
tensors
in
numpy
style
slicing
to
reduce
the
dimensionality
so
it's
easier
to
look
at
x-ray
or
x-ray
animator
for
your
models
shipped
with
tensorflow
that's
the
only
tensorflow
as
far
as
I
know
and
i'm
doesn't
quite
work
after
two
iterations
like
nan
not
a
number
or
infinities
in
a
those
nan's
and
infinities
so
to
answer
debugger
plug-in
so
again
we're
looking
nodes
responsible
for
the
infinities
our
tensors
and
we
the
conditional
breakpoints
feature
to
the
input
is
the
softmax
tensor
so
we
command
line
on
tensor
boards
with
a
read-only
reporting
tool
we're
trying
to
ising
tensor
board
such
as
cube
flow
you
can
independently
develop
plugins
hashtag
twitter
or
you
know
reach
out

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