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

4.9

40,643 個評分

•

4,326 個審閱

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....

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.

Oct 09, 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

篩選依據：

創建者 Subham K

•Jan 05, 2019

It was so awesome .I got to know the minute details which would certainly help me in making a better deep learning model.

創建者 Arram B

•Jan 05, 2019

Thank you Andrew Ng Sir, you made every complex topic easily understandable with very efficient way.

Thanks for everything Sir!!!!

創建者 Sourav

•Jan 05, 2019

Learnt a great deal about tuning models. Concepts of regularization, batch norm and optimizers were very well explained.

創建者 Shayan A B

•Jan 05, 2019

Another well-taught course. Cant wait to complete more in the specialization.

創建者 pratik a

•Jan 04, 2019

A great course!!

創建者 Jorge B

•Jan 04, 2019

Very practical, clear and useful.

創建者 Sudheer P

•Jan 05, 2019

This course teaches the mechanics of deep neural networks and how to optimize the neural net. Prof goes at a reasonable pace so that the student understands the concepts.

創建者 GANHADHAR

•Jan 04, 2019

Great Learning . Thanks a Lot

創建者 Babu, C

•Jan 07, 2019

Excellent optimization techniques articulated very well

創建者 chanish a

•Jan 05, 2019

I never have enjoyed this much while studying.

創建者 Arsalan

•Jan 06, 2019

I believe a approach Sir takes while teaching the course makes it comparatively easy to learn the very difficult concept of deep learning.

創建者 Abdullah

•Jan 07, 2019

Very thorough explanation about the hyperparameters and optimization techniques.

創建者 Ajay S

•Jan 07, 2019

Really a Great course for the deep learning thanks coursera for prioviding me financial aid for the course and i am able to complete the course with in the time . Thanks a Lot .

創建者 Ruiliang L

•Jan 06, 2019

Help you get the best understanding of the deep learning

創建者 Qasid S

•Jan 06, 2019

Great Course!! This course should be part of every deep learning career path.

創建者 Dhananjaykuamr o

•Jan 08, 2019

great course

創建者 WALEED E

•Jan 08, 2019

The course is very useful for being acquainted with tuning hyper-parameters and modern optimization algorithms like momentum, RMSProp an Adam. It is also introducing how to prevent over-fitting efficiently from recent papers in addition to mini batching training data. Although it introduces TensorFlow in a brief way, the overall assessment needs some revision.

創建者 Lim K Z

•Jan 09, 2019

Really love your interviews with the prominent figures in the AI sphere - very inspiring and insightful. Particularly like the advice given by Yoshua Bengio. Keep it up!!!!

創建者 Aakash G

•Jan 08, 2019

Started with some basic tensors... so that's good. However I like how Andrew explains the effect of each hyper-parameter on the models output. Happy learning!

創建者 Syed M H J

•Jan 09, 2019

Easily the best course on diving under the hood of how a Neural Network actually works and how to tune to the satisfaction of our results.

A no brainer for sure. The best part the exercises. You MUST do the exercises to understand thoroughly how the systems actually work.

創建者 KimYunSu

•Jan 09, 2019

I liked it!

創建者 AlexZhao

•Jan 08, 2019

Awesome course

創建者 江逸群

•Jan 09, 2019

Thanks so much for this course

創建者 Yannik L

•Jan 09, 2019

Excellent

創建者 dmitry p

•Jan 09, 2019

Good course, just jupyter notebook hangs