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

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

29,061 ratings
3,218 reviews

About this Course

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....

Top reviews


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.


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.

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3,153 Reviews

By Guillermo Florez

Feb 15, 2019

Excellent course, thank you!

By Yosuke Nosho

Feb 15, 2019

Great course to learn basis of the DNN, Tensorflow, and especially direction of hyperparameter tuning will be very useful knowledge on my job. It will help us escape from maze of parameter optimization.


Feb 14, 2019

Awesome course :)

By Subhadeep Dash

Feb 14, 2019

Wonderful course!!! Taught me how to tune hyperparameters and basics of tensorflow framework. Good kickstart to deep learning!! Thanks a lot Coursera and

By Václav Remeš

Feb 14, 2019

Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!


Feb 13, 2019

Nice course for improving deep neural networks , they will show the all the paths available to improve a neural network , all you have to do is explore it based on your passion and need :)

By Krystian Paczkowski

Feb 13, 2019

The homeworks (programming assignments) are a little bit an overkill.

By Long Hoang Ngoc

Feb 13, 2019


By Sam Doctor

Feb 12, 2019

Another wonderful course from Andrew Ng, and gives a good intro to tensor flow at the end. Looking forward to the next course!

By Md. Mahmudul Haque

Feb 12, 2019

Great course and great tutorials on a deep learning framework.