Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
|
Buy Now
Trends in Deep Learning Methodologies - Algorithms, Applications, and Systems (Paperback)
Loot Price: R2,978
Discovery Miles 29 780
|
|
Trends in Deep Learning Methodologies - Algorithms, Applications, and Systems (Paperback)
Series: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Expected to ship within 12 - 17 working days
|
Trends in Deep Learning Methodologies: Algorithms, Applications,
and Systems covers deep learning approaches such as neural
networks, deep belief networks, recurrent neural networks,
convolutional neural networks, deep auto-encoder, and deep
generative networks, which have emerged as powerful computational
models. Chapters elaborate on these models which have shown
significant success in dealing with massive data for a large number
of applications, given their capacity to extract complex hidden
features and learn efficient representation in unsupervised
settings. Chapters investigate deep learning-based algorithms in a
variety of application, including biomedical and health
informatics, computer vision, image processing, and more. In recent
years, many powerful algorithms have been developed for matching
patterns in data and making predictions about future events. The
major advantage of deep learning is to process big data analytics
for better analysis and self-adaptive algorithms to handle more
data. Deep learning methods can deal with multiple levels of
representation in which the system learns to abstract higher level
representations of raw data. Earlier, it was a common requirement
to have a domain expert to develop a specific model for each
specific application, however, recent advancements in
representation learning algorithms allow researchers across various
subject domains to automatically learn the patterns and
representation of the given data for the development of specific
models.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.