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

4.9
stars
63,238 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

CM

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.

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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1851 - 1875 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By chandu G

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Dec 19, 2020

Thank you very much Prof Andrew. Thanks a lot to team coursera for giving me the key knowledge to future.

By Elma E T

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Jun 23, 2020

The course was well paced and well timed. The intuition behind different aspects were taught really well.

By Nikhil K

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Jun 17, 2020

Awesome! very good pacing out of material, engaging instruction and super interesting assignment as well!

By Anand S

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May 27, 2020

Good second course. still lot more to learn. want to finish up asap and start working on Kaggle projects.

By Atharva T

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Apr 13, 2020

Good Course. One should take in the future if one wants to know how to better tune neural network models.

By Kévin L

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Apr 2, 2020

Very interesting course with lots of advices to tune hyper parameters and optimize the learning process !

By Almas M

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Mar 4, 2020

this course gives broad knowledge about optimization of neural networks and also hyper parametric tuning.

By Zhejiayu M

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May 3, 2018

Good Introduction to the most important part of the deep learnig - optimizations. Learnt a lot from this.

By Wanheng Z

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Apr 2, 2018

Awesome class!Just learned a lot useful optimizing methods which are taught really vividly and throughly.

By Vivek K

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Mar 8, 2018

Such an awesome course. Andrew Ng is the teacher everyone wishes to have during school and college days..

By robin c

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Nov 28, 2017

Exceptionnel content ! Andrew is clear as always and we get a very good intuition of how everything works

By Brian H

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Oct 16, 2017

a great course to progress from building neural networks from scratch to trying deep learning frameworks.

By Ronnie K

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Oct 16, 2017

Very good. A few typos and mistakes in the instructions on the final programming assignment (TensorFlow).

By Raymond D

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Oct 14, 2017

Really well structured course. Learned a lot about Searching HyperParameters and optimization procedures.

By Sabana G

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Mar 30, 2021

complete and sufficient subjects and amazing explaining, also great lab which improves one step forward.

By Karl G

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Feb 17, 2021

I wish we would go straight into Tensorflow 2 instead of learning Tensorflow 1 which is kind of useless.

By Doug N

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Jan 10, 2021

Fantastic code snippets and explanations, steadily building upon understanding as the course progresses.

By Md. M H

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Oct 10, 2020

It's a great experience. I had huge lacking based on neural network. Sir described everything so nicely.

By Bedirhan Ç

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Jul 15, 2020

It s a good introduction to the tensorflow and gives detailed information about the optimization methods

By Farhan A R

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Jun 20, 2020

The course is good.

The first week was very long. Could you split it in two and add some more exercises?

By LAAVANYA M

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Jun 4, 2020

Wonderful course for interested learners in DNN. It is very useful for my research enhancement.

Thank you

By Zhenxuan S

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Apr 24, 2020

Wel, I think perhaps pytorch is easier than tensorflow and it may be a better alternative for the course

By Martin E

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Feb 22, 2020

Muy bueno la parte de Regularizacion y Optimizacion. La intro de Tensorflow no suma mucho en este curso.

By PRANJAL J

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Jan 15, 2020

Very Good content for learning the parameters tuning and well taught lectures on regularization methods.

By Mandeep S G

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Dec 18, 2019

Provide good insights to tune neural networks from scratch and also provides introduction to tensorflow.