By Levels

Library

EXP: 08888
HITS: {{lyricTraining.hits}}888
STREAKS: {{lyricTraining.streaks}}888
TIME: {{lyricTraining.timeout / 1000}}88
{{word.word}}

{{cue.translated_text}}

{{lyricTraining.hint}}

x{{playblackSpeed.toFixed(2)}}

Loading ..

Not Found

{{annotation.word}} ({{annotation.pos_simplify}})

/{{annotation.phonetic}}/

{{annotation.translation}}

{{annotation.name}}

{{annotation.sub_type}}

{{annotation.definition}}
Back

Games & Quizzes

Training Mode - Typing
Fill the gaps to the Lyric - Best method
Training Mode - Picking
Pick the correct word to fill in the gap
{{game.name}}
{{game.description}} Requires {{game.required_annotions}} vocabulary annotations

Congratulations! You gained {{totalPoint}} XP

You may need to watch a part of the video to unlock quizzes

Don't forget to Sign In to save your points

Repeat Skip ({{game.question_index}}/{{game.questions.length}})
{{part}}
Repeat Skip ({{game.question_index + 1}}/{{game.questions.length}})
{{choice.text}}
{{choice.text}}

Make correct pairs from two columns

{{lyricTraining.finished && lyricTraining.timed_out ? 'Timed Out' : 'Challenge Accomplished'}}

PERFECT HITS {{lyricTraining.stats.PERFECT_HITS}} +{{lyricTraining.stats.PERFECT_HITS * 20}}
HITS {{lyricTraining.stats.HITS}} +{{lyricTraining.stats.HITS * 10}}
LONGEST STREAK {{lyricTraining.stats.LONGEST_STREAKS}} +{{lyricTraining.stats.LONGEST_STREAKS * 10}}
REMAINING TIME {{lyricTraining.timeout / 1000}}s +{{lyricTraining.timeout / 1000}}
TOTAL +{{lyricTraining.exp}}
{{word.word}} - {{dictionary.definition[0].phonetic || ("/" + dictionary.phonetics +"/")}} - {{word.translation}}

We couldn't find definitions for the word you were looking for.
Or maybe the current language is not supported

{{simpleDefinition.pos}}

{{simpleDefinition.def}}

{{word.word}}

Sentences & parts of speech:

  • {{tag.normal}} {{tag.pos_name}}

  • {{c.startTime | duration}}


    {{c.translated_text}}

All {{pos.pos_simplify}}
{{a.word || a.name}}
/{{a.phonetic}}/
{{a.type || a.sub_type}}
{{a.translation}} 		{{a.definition}}

Deep Learning Course with Python, Keras and TensorFlow with Applications of Deep Neural Networks.

65,126 views

Jeff Heaton

Video Language:

  • English

Caption Language:

  • {{captionLanguage | language_name}} ({{captionLanguage}})

Accent:

  • English (US)

Speech Time:

97%
  • 4:53 / 5:02

Speech Rate:

  • 167 wpm - Fast

Category:

  • Science & Technology

Tags :

Intro:

Video Vocabulary

generate

/ˈjenəˌrāt/

verb

To create or be produced or bring into existence.

graphics

/ˈɡrafiks/

noun other

products of graphic arts. Images on a computer screen or TV.

trained

/trānd/

adjective verb

having been taught particular skill or type of behaviour. To practice to get better at a thing, e.g. sports.

everyday

/ˈevrēˌdā/

adjective adverb

Used or seen daily; for daily use; ordinary. each day.

results

/rəˈzəlt/

noun other verb

consequence, effect, or outcome of something. Some things produced through tests or experiments. To be the outcome of other causes and effects.

although

/ôlˈT͟Hō/

conjunction

Despite the fact that; however.

directly

/diˈrektlē/

adverb conjunction

without changing or stopping. as soon as.

training

/ˈtrāniNG/

noun verb

Act of educating someone to get better at. To educate someone in something, e.g. medicine.

outside
adjective adverb noun preposition

situated on or near outside. situated beyond boundaries of place. Area around or near something, such as a building. situated beyond boundaries of.

producing
verb

To make something appear.

believe

/bəˈlēv/

verb

To have a particular opinion about something.

correct

/kəˈrekt/

adjective verb

Being suitable and appropriate for an occasion. To fix a problem.

applications

/ˌapləˈkāSH(ə)n/

noun other

formal request. Requests for jobs, building permissions etc..

essentially

/əˈsen(t)SHəlē/

adverb

Basically; (said when stating the basic facts).

intermixed

/ˌin(t)ərˈmiks/

verb

Mix together..

Q
W
E
R
T
Y
U
I
O
P
A
S
D
F
G
H
J
K
L
Z
X
C
V
B
N
M