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GoogleNet Deep learning Neural Network

GoogleNet Deep learning Neural Network 1ap9N
The Inception Network was one of the major breakthroughs in the fields of Neural Networks, particularly for CNNs. So far there are three versions of Inception Networks, which are named Inception Version 1, 2, and 3. The first version entered the field in 2014, and as the name "GoogleNet" suggests, it was developed by a team at Google. This network was responsible for setting a new state-of-the-art for classification and detection in the ILSVRC. This first version of the Inception network is referred to as GoogleNet.
The
Inception
Network
was one of the major breakthroughs in the fields of Neural
Networks
,
particularly
for
CNNs
.
So
far there are three
versions
of
Inception
Networks
, which
are named
Inception
Version
1, 2, and 3. The
first
version
entered the field in 2014, and as the name
"
GoogleNet
"
suggests, it
was developed
by a team at Google. This
network
was responsible for setting a new state-of-the-art for classification and detection in the
ILSVRC
. This
first
version
of the
Inception
network
is referred
to as
GoogleNet
.
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IELTS essay GoogleNet Deep learning Neural Network

Essay
  American English
1 paragraphs
86 words
This writing has been penalized,
text can't be
less than 250 words in Task 2
and less than 150 words in Task 1
5.0
Overall Band Score
Coherence and Cohesion: 5.5
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • Vary your linking phrases using synonyms
Lexical Resource: 5.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
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    Currently is not available
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