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

29,185 calificaciones
3,229 revisiones

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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....

Principales revisiones

por 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.

por 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.

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3,171 revisiones

por Dharanidaran

Feb 19, 2019

A must have course to know the effect of Hyperparameter tuning, and a great programming exercise on Tensorflow for Beginner. I highly recommend this course if you want to build accurate models


Feb 19, 2019

Very good experience using tensor flow framework for deep learning

por Hussam Kanaan

Feb 19, 2019

Amazing course with perfect teacher

por Rajat Chakraborty

Feb 18, 2019

Brilliant way of covering a complicated topic

por 김진수

Feb 18, 2019

This course was good.

por jinpengcheng

Feb 18, 2019


por Ilya Persky

Feb 18, 2019

*Thumbs up*

por Eddie CHEN

Feb 18, 2019

My second AI course certificate from Andrew Ng after I left Taiwan AI Labs. Even though it took me more than 2 months to complete because of my kids' winter vacation and Chinese New Year break. I did learn a lot about how to tune and optimize a Deep Learning network. Keep going to the 3rd course.

por Claudio Coppola

Feb 18, 2019

very useful also for experts

por Jorge de Jesus Gomes Leandro

Feb 17, 2019

All the courses in the Deep Learning Specialization are very good and met my expectations. I was guided through the nitty-gritties of neural networks, fortunately with a strong emphasis on Computer Vision (my area), deep diving in coherent coding exercises. Prof Andrew, as always, managed to connect the points between theory and practice, recollecting the concepts treated in past lectures, while showing how Tensorflow operates and how to use it. If you ask me, I'd say that the slides of the Machine Learning course used to be better than the slides for the 4 courses in this specialization, in the sense of being useful as studying guide for the future. The current slides only make sense to those who went through the course.