Deep Learning (Adaptive Computation and Machine Learning series)
Price: $100.00 - $60.50
(as of Nov 21,2024 12:15:26 UTC – Details)
Publisher : The MIT Press (November 18, 2016)
Language : English
Hardcover : 800 pages
ISBN-10 : 0262035618
ISBN-13 : 978-0262035613
Reading age : 18 years and up
Grade level : 12 and up
Item Weight : 2.54 pounds
Dimensions : 9.1 x 7.2 x 1.1 inches
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Deep Learning (Adaptive Computation and Machine Learning series)
Deep learning has become a buzzword in the field of artificial intelligence and machine learning, revolutionizing the way we approach complex problems. In this post, we will explore the fundamentals of deep learning and its applications in various industries.
Deep learning is a subset of machine learning that focuses on learning representations of data through multiple layers of neural networks. These neural networks are inspired by the structure and function of the human brain, allowing them to learn and adapt to new information.
One of the key advantages of deep learning is its ability to automatically discover intricate patterns and relationships within large datasets. This has led to breakthroughs in areas such as image recognition, natural language processing, and speech recognition.
In the book “Deep Learning” from the Adaptive Computation and Machine Learning series, authors Ian Goodfellow, Yoshua Bengio, and Aaron Courville provide an in-depth look at the theory and practice of deep learning. They cover topics such as neural networks, optimization algorithms, and generative models, making it a valuable resource for both beginners and experts in the field.
Whether you are a researcher, student, or industry professional, understanding deep learning can open up a world of possibilities for solving complex problems. Stay tuned for more insights on this exciting area of machine learning!
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