Chevron Left
Voltar para Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, deeplearning.ai

4.9
26,169 classificações
2,944 avaliações

Informações sobre o curso

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....

Melhores avaliações

por CV

Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

por PG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filtrar por:

2,891 avaliações

por LeslieJ

Dec 10, 2018

thanks all

por Ilan Benichou

Dec 10, 2018

excellent cours

por Martha Eugenia Trevino Guerra

Dec 09, 2018

Super practical and easy to learn. Great activities and quizzes. I love these courses!

por Neelkamal Bharati

Dec 09, 2018

Very good pace of learning for beginners.

por oli cairns

Dec 09, 2018

Lectures are good. Quizzes and programming exercises too easy.

por Biniam Palaiologos

Dec 09, 2018

A great course, suitable for everyone and easy to comprehend!

por Shankar S Pachari

Dec 08, 2018

A very good course for taking understanding of Deep learning one level above the basics. The course is theoretical, but the team has done their best to make it as much hands-on as possible.

I did face some intermittent platform issues with saving and submitting my assignments.

por Anup Kumar Jana

Dec 08, 2018

Amazing session and all the details and calculations are perfectly explained.

por MAIZA Hichem

Dec 07, 2018

J'ai beaucoup apprécié ce cours !

it was great !

por Humberto da Silva Neto

Dec 07, 2018

Great explanation on Hyperparameters, Regularization and Optimization.