Deep Learning for the Life Sciences

Deep Learning for the Life Sciences

  • Author: Bharath Ramsundar, Patrick Walters, Peter Eastman, Vijay Pande
  • ISBN: 1492039837
  • Year: 2019
  • Pages: 238
  • Language: English
  • File size: 24.7 MB
  • File format: PDF, ePub
  • Category: AI & Machine Learning

Book Description:

Deep learning has achieved remarkable results in several areas. Now it is making waves across the sciences widely along with the life sciences in particular.

Ideal for educating scientists and developers prepared to apply their abilities to scientific applications like genetics, economics, and drug discovery, this publication introduces several profound network primitives. You will follow a case study on the issue of designing new therapeutics that joins together physics, chemistry, biology, and medicine–an illustration that reflects one of science’s greatest challenges.

  • Understand the basics of performing machine learning about how molecular information
  • Know why profound learning is a powerful instrument for genetics and genomics
  • Employ deep learning to comprehend biophysical methods
  • Get a brief introduction to machine learning together with DeepChem
  • Utilize deep learning to examine microscopic graphics
  • Assess clinical trials using profound learning methods
  • Learn about variational autoencoders and generative adversarial networks
  • Interpret what your version is performing and how it’s functioning


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