Name: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (7321 reviews)

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

4.9

stars

63,068 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

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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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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3951 - 3975 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Amos O O

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Oct 10, 2020

Lovely course and a little bit tough

By Gusti A F A

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Aug 16, 2020

I really enjoy the course, thank you

By aldo p

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Jul 23, 2020

great course with detail explanation

By Alan L

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Jun 15, 2020

useful and very detail for beginners

By MICHAEL D S R

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Jun 11, 2020

Awesome course! Thank you very much!

By Rahul V H

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May 15, 2020