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

Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019
觀看次數：336
remind
you
that
we're
in
a
fast-paced
speakers
if
you're
interested
in
through
conferences
and
blog
posts
and
there's
really
a
lot
of
them
and
they're
i'm
only
gonna
cover
supervised
and
solved
with
supervised
and
unsupervised
let's
start
with
supervised
learning
if
it's
basically
creating
a
predictive
predictive
model
predicting
the
price
of
a
house
so
let's
the
characteristics
of
the
entries
in
bathrooms
that
you'd
have
a
garden
or
we're
using
an
algorithm
you
would
try
learning
the
unsupervised
learning
it's
unsupervised
and
supervised
so
if
we
work
as
an
it's
not
an
unsupervised
only
know
the
characteristics
of
a
house
solves
is
more
around
clustering
so
an
bought
as
well
so
so
unsupervised
problems
that
you're
predicting
the
then
an
algorithm
generates
for
you
a
not-safe-for-work
j/s
where
again
you
accessibility
so
I
don't
know
if
you've
abhishek
singh
created
a
prototype
amazon
alexa
what
about
people
who
can't
javascript
so
let's
dive
a
little
bit
day
when
we
move
from
jquery
to
angular
there's
a
lot
of
tutorials
and
courses
an
existing
pre-trained
model
so
it's
a
javascript
in
the
browser
you
can
define
most
popular
is
tensorflow
j/s
but
that
tensorflow
gest
uses
might
be
a
bit
started
so
it's
a
lot
simpler
and
there's
a
few
examples
I
feel
like
it's
construction
there's
some
examples
and
yes
so
it's
like
some
some
frameworks
automatically
so
i'm
gonna
demo
out
what
recyclable
3
in
the
yellow
bin
so
in
australia
it's
yellow
actually
didn't
kuku
ssd
open
source
model
that's
an
use
some
of
the
tensorflow
built-in
it
for
predictions
it's
kind
of
like
here's
the
de
graaff
from
the
webcam
thing
of
importing
a
pre-training
model
that's
it
so
now
let's
talk
about
them
with
accessibility
so
i'm
just
my
favorite
feature
of
using
javascript
loading
tensorflow
gs
but
i'm
also
image
size
of
227
that
is
hard-coded
I
browser
classifier
so
you
don't
need
to
keep
it
you
don't
know
what
a
wheelie
is
a
browser
you
know
using
websockets
from
gonna
be
trying
willy's
and
I
didn't
the
in
the
browser
it
was
200
by
200
cnn
convolutional
neural
network
because
add
layers
of
a
convolutional
2d
layer
kernel
size
and
filters
that's
a
little
depending
on
what
you're
trying
to
do
algorithms
are
not
biased
we
are
I
feel
is
hardworking
and
she's
lazy
like
all
algorithm
to
recognize
some
gestures
to

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