Behrouz A. Forouzan
Data Communications and networking
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Michael Kifer
Databases and Transaction Processing
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Wes Mckinney
Datenanalyse mit Python
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Gio Wiederhold
Datenbanken
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Gio Wiederhold
Datenbanksysteme
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Gunter Schlageter, Wolffried Stucky
Datenbanksysteme
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Peter Gola, Dirk Heckmann
Datenschutz-Grundverordnung, BDSG
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Marcus Helfrich
Datenschutzrecht
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Frank Ronneburg
Debian-GNU-Linux-4-Anwenderhandbuch
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Francois Chollet
Deep Learning mit Python
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Chen, Peter P. S., Knöll, Heinz-Dieter
Der Entity-Relationship-Ansatz zum logischen Systementwurf
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Frank Mittelbach, Michel Goossens
Der LaTeX-Begleiter
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Harry M. Sneed, Manfred Baumgartner, Richard Seidl
Der Systemtest
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Deep Learning for the Life Sciences
Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Bharath Ramsundar
Peter Eastman
Patrick Walters
Vijay Pande
description
Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You'll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine--an example that represents one of science's greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it's working
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pages
N/A
Year published
2019
Publisher
O'Reilly
Issn
978-1-4920-3983-9
Language
en
id
I.5.1 RAM19