Voltar para Avoid Overfitting Using Regularization in TensorFlow
Comentários e feedback de alunos de Avoid Overfitting Using Regularization in TensorFlow da instituição Coursera Project Network
74 classificações
Sobre o curso
In this 2-hour long project-based course, you will learn the basics of using weight regularization and dropout regularization to reduce over-fitting in an image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that, after the training and regularization, will predict image classes of input examples with similar accuracy for both training and validation sets.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Melhores avaliações
Filtrar por:
1 — 4 de 4 Avaliações para o Avoid Overfitting Using Regularization in TensorFlow
por Ishwari R
•7 de ago de 2020
please enable me to reset the deadlines as i was unable to complete..
por tale p
•26 de jun de 2020
good
por Ricardo D
•30 de jan de 2021
Good introduction to regularization techniques. It's nice to learn these techniques with a relevant, but simple, example code.
por Deleted A
•12 de mai de 2020
Not efficiently
Coursera Footer
© 2022 Coursera Inc. Todos os direitos reservados.
