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

4.9
27,760 ratings
3,092 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

By 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.

By 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.

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3,030 Reviews

By Sarfaraz Khan

Jan 19, 2019

Very well organized course by a great teacher

By Elvis Saravia

Jan 18, 2019

Loved this part of the code... it allowed me to understand more about the optimization and regularization tricks such as RMSprop and Dropout.

By Amir Kolaman

Jan 18, 2019

To the point and effective!

By CHEN NI

Jan 18, 2019

Awesome as always.

By Shravan Mishra

Jan 17, 2019

Thank You!!!

By Kirk Brunson

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

By Raj

Jan 17, 2019

Awesome course.

By John lee

Jan 16, 2019

good course indeed

By Abhishek Bhardwaj

Jan 16, 2019

Awesome Content and tutors!

By Wei Lai

Jan 16, 2019

Fantastic course design!