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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization,

26,136 个评分
2,942 个审阅


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....


创建者 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.

创建者 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.


2,890 个审阅

创建者 Ilan Benichou

Dec 10, 2018

excellent cours

创建者 Martha Eugenia Trevino Guerra

Dec 09, 2018

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

创建者 Neelkamal Bharati

Dec 09, 2018

Very good pace of learning for beginners.

创建者 oli cairns

Dec 09, 2018

Lectures are good. Quizzes and programming exercises too easy.

创建者 Biniam Palaiologos

Dec 09, 2018

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

创建者 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.

创建者 Anup Kumar Jana

Dec 08, 2018

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

创建者 MAIZA Hichem

Dec 07, 2018

J'ai beaucoup apprécié ce cours !

it was great !

创建者 Humberto da Silva Neto

Dec 07, 2018

Great explanation on Hyperparameters, Regularization and Optimization.

创建者 Rusty Mina

Dec 07, 2018

I learned a lot about the area that is not much talked about in deep learning, which is hyperparameter tuning! The forum was very helpful in debugging the programming assignments! Thank you Prof. Ng for the wonderful course. I thank Coursera as well for believing in me and granting me Financial Aid. It wouldn't have been possible without your help, Coursera Team. THANK YOU VERY MUCH! :D