Name: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (7345 reviews)

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

Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9

stars

63,243 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

Dec 23, 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

Thanks.

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6951 - 6975 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Julia W

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Dec 18, 2023

Videos are of poor audio quality

By Vincent L

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Jul 16, 2020

Interesting and tough to finish.

By Lenny F

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Sep 28, 2019

Would like to have more practice

By John M

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Apr 4, 2019

TensorFlow needs more explaining

By Sam M

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Apr 28, 2018

Some errors in jupyter notebooks

By ccbttn

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Oct 8, 2017

last assignment need improvement

By Julian F

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Sep 30, 2017

A very practical hands-on study.

By San Z

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Jan 23, 2021

Tensorflow part is not that ok!

By Massimiliano L C

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Dec 19, 2019

Great course, incredibly useful

By Pavao S

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Feb 11, 2018

I would like to see more theory

By Saad K

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Sep 12, 2017

Could probably be more condense

By Yash A

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Nov 23, 2020