Deep Learning for the Life Sciences

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

» کتابناکهای مرتبط:
C# 7.0 in a Nutshell
Foundations of Statistical Algorithms
Data Structures and Algorithms in Java

نسخه ها
حجم: 25 مگابایت
تعداد صفحات: 238
- / 5
با 0 رای
امتیاز دهید
5 4 3 2 1

دیدگاه‌ها: 0

پاسخنگارش دیدگاه
دیدگاهی درج نشده؛ شما نخستین نگارنده باشید.

درج دیدگاه مختص اعضا است! برای ورود به حساب خود اینجا و برای عضویت اینجا کلیک کنید.

Powered by You