Search
Tools
Listening
Reading
1. Academic
2. General
Writing
1. IELTSWriting Checker
2. IELTS Writing Samples
Speaking

Do you want to improve your writing? Try our new evaluation service and get detailed feedback.

Deep convolutional neural network

Deep convolutional neural network D6e0j

AleXNet is a deep convolutional neural network that was trained on a large dataset(Image Net) to classify the 1. 2 million high-resolution images with 1000 different classes(Alex Krizhevsky and et al, 2017), in the current study, our data sets were employed on Alexnet by using transfer learning where consider transfer learning is an efficient and powerful solution for many classification problems. Training requires enough data and computer time, but much less than training from scratch (see Figure 2 for a comparison with pre-trained networks and training from scratch) (Bengio, 2012), and the result is a network specifically tailored to our objectives. It is beneficial that we use the pre-trained AlexNet architecture to build the network † where Figure 4 shows the AlexNet architecture.

Possible spelling mistake found.AlexeiAlexey
AleXNet
 is a deep convolutional neural You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
 that was trained
 on a large dataset(Image Net) to classify the 1. 2 million high-resolution images with 1000 This phrase/word is too simple and can be replaced with:various
different
 classes(Alex Possible spelling mistake found.Izhevsk
Krizhevsky
 and A dot is missing here: "et al."et al.
et al
, 2017), in the This phrase/word (depending on the context) can be potentially replaced with :contemporarymodern
current
 study, our data sets were employed
 on Possible spelling mistake found.Alex net
Alexnet
 by using transfer learning where consider transfer learning is an efficient and powerful solution for This phrase/word is too simple and can be replaced with:a plethora ofa number ofnumerous
many
 classification problems. Training requires This phrase/word is too simple and can be replaced with:abundance
enough
 data and computer time, This phrase/word is too simple and can be replaced with:on the contrary
but
 much less than training from scratch (This phrase/word (depending on the context) can be potentially replaced with :witness
see
 Figure 2 for a comparison with pre-trained You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
networks
 and training from scratch) (Possible spelling mistake found.BeginBengalBenignBeninBenitoSergio
Bengio
, 2012), and the result is a You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
specifically
 tailored to our objectives. It is beneficial that we This phrase/word (depending on the context) can be potentially replaced with :exploit
use
 the pre-trained Possible spelling mistake found.AlexeiAlexey
AlexNet
 architecture to build the You use this word too often, consider replacing it withwebchainsystemgridorganizationnet
network
 † where Figure 4 This phrase/word (depending on the context) can be potentially replaced with :demonstratesportraysindicatesdisplays
shows
 the Possible spelling mistake found.AlexeiAlexey
AlexNet
 architecture. 