Go back

Artificial Neural Network(1st Edition)

Authors:

Oh Chang-seok

Free artificial neural network 1st edition oh chang-seok 895717477x, 978-8957174777
11 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days
Access to 30 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $56.27 Savings: $56.27(100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Artificial Neural Network

Price:

$9.99

/month

Book details

ISBN: 895717477X, 978-8957174777

Book publisher: A heavy-duty publisher

Get your hands on the best-selling book Artificial Neural Network 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: Artificial neural networkArtificial neural networks are used in a wide variety of fields such as image recognition, speech recognition, automatic control, big data, management, medical diagnosis, reasoning, association and so on. This book deals with various neural network models, including deep neural network, which is the core of deep learning, but also allows general readers to learn by themselves, Artificial neural networks, which mimic the information processing in the human body, are used in various fields such as image recognition, speech recognition, automatic control, big data, management, medical diagnosis, reasoning, In addition, there is a growing interest in deep learning as a core of artificial intelligence, which is the basis of the fourth industrial revolution. However, because artificial neural network theory is difficult, it is difficult to understand its contents and apply it to the field of interest. This book deals with various neural network models such as depth neural network, which is the core of deep learning, but it is designed so that the concept of study contents can be easily established through examples. , And general readers who are interested in machine learning or deep learning can learn by themselves.