Digital Molecular Magnetic Resonance Imaging by Bamidele O. Awojoyogbe & Michael O. Dada
Author:Bamidele O. Awojoyogbe & Michael O. Dada
Language: eng
Format: epub
ISBN: 9789819763702
Publisher: Springer Nature Singapore
ii.
Model Training and Testing: You can create GUIs to control the training and testing of machine learning models. Users can select different hyperparameters, choose algorithms, and monitor the training process through interactive displays.
iii.
Visualization of Results: Tkinter allows you to display model outputs visually. You can plot graphs, confusion matrices, or other visual representations of model performance for easier understanding.
iv.
Deployment of Models: When you want to create an application that uses a trained machine learning model, Tkinter can help build the user interface for the application. It can provide a user-friendly experience for interacting with the model predictions.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Deep Learning with Python by François Chollet(12644)
Hello! Python by Anthony Briggs(9947)
OCA Java SE 8 Programmer I Certification Guide by Mala Gupta(9822)
The Mikado Method by Ola Ellnestam Daniel Brolund(9813)
A Developer's Guide to Building Resilient Cloud Applications with Azure by Hamida Rebai Trabelsi(9686)
Dependency Injection in .NET by Mark Seemann(9368)
Hit Refresh by Satya Nadella(8854)
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8333)
The Kubernetes Operator Framework Book by Michael Dame(7920)
Sass and Compass in Action by Wynn Netherland Nathan Weizenbaum Chris Eppstein Brandon Mathis(7810)
Test-Driven iOS Development with Swift 4 by Dominik Hauser(7788)
Grails in Action by Glen Smith Peter Ledbrook(7719)
Exploring Deepfakes by Bryan Lyon and Matt Tora(7709)
Practical Computer Architecture with Python and ARM by Alan Clements(7654)
Implementing Enterprise Observability for Success by Manisha Agrawal and Karun Krishnannair(7618)
Robo-Advisor with Python by Aki Ranin(7608)
The Well-Grounded Java Developer by Benjamin J. Evans Martijn Verburg(7590)
Building Low Latency Applications with C++ by Sourav Ghosh(7491)
Svelte with Test-Driven Development by Daniel Irvine(7477)
