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

學生對 deeplearning.ai 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的評價和反饋

4.9
58,623 個評分
6,753 條評論

課程概述

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....

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HD
2019年12月5日

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse

NA
2020年1月13日

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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201 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 225 個評論(共 6,678 個)

創建者 zhijun l

2018年12月6日

A great course talks about the detail in building Neural networks. With the first course as a foundation, student taking this definitely will get a better understanding on hyperparameter tuning and optimization, in addition on training neural networks. I recommend this course to those who would like to know neural networks more than just the concept!!

創建者 shaila a

2020年7月26日

The details covered in the course are very important for pracical use. They are not commonly available on the Internet otherwise. Also, with the new libraries that make the task of coding easier, the knowledge of tuning parameters, of optimizing learning curves, is often overlooked. This course highlights the importance of that knowledge. Thank you!

創建者 Oliver M

2017年8月14日

Having completed Udacity 730 on Tensorflow, I found Andrew Ng filled crucial gaps in my understanding. He is not afraid of presenting some maths to build intuition, but he always presents it in a straightforward way. Compare his explanation of Adam optimisation with the source paper on the subject. Andrew boils it down and serves it up beautifully.

創建者 KOVVURU M K

2020年10月29日

One of the course I have ever taken. Taught me the nuts and bolts of Neural Networks. Now I feel more confident dealing with hyperparameter tuning. Before this course I am just doing trail and error method or grid search to find the hyperparameters with understanding why it work or didn't work. Now I understand what should be done to make it work.

創建者 Adail M R

2017年9月13日

Once more, Prof. Ng show in his simple style how to tackle the tough subject of hyperparameter tuning, pointing to several techniques and helping us selecting the most appropriate ones for the task at hand. The Tensorflow introduction is also very effective and engaging! Looking forward to advance my knowledge and experience with the next courses!

創建者 Diego A P B

2018年3月6日

Hyperparameter tuning and the other techniques seen in this course are not perceived to be the most fashionable areas of machine learning and deep learning. Nonetheless, they are crucial parts, and thus the techniques shown in this course will show you how to save great amounts of time and headache when trying to improve and finetune your models.

創建者 K R

2020年6月12日

This course is very helpful in the matter of enhancing the knowledge from the previous course and getting the right intuitions about improving deep learning neural networks.

Thanks to Professor Andrew Ng for making it very clear and easy to understand and giving me the right tools for my Phd research .

I look forward to getting to the next course.

創建者 RUDRA P D

2020年6月6日

All the topics are very understandable, the way Andrew sir describe a concepts is just awesome. During the first specialization course i.e Neural Networks and Deep Learning , I was very confused about the hyperparameters tunning (like how to know what to chose). Khan Academy has helped me a lot to understand the underlying mathematical concepts.

創建者 Nestor H

2018年6月5日

It was a great course to take. I could grab basic knowledge on TensorFlow and on some optimization techniques. I consider all the optimization algorithms are based on gradient descent, it is just that they tweak some parameters, but they are gradient-descent like algorithms. In summary, Dr. Ng is a genius and it is worth taking all his classes.

創建者 Jay P G

2019年12月30日

After knowing the basics of Deep Learning and Neural Networks (From the course 1) , this course explains the crux of improving and tuning of the neural networks and it's parameters and Hyper parameters . And the intro to tensor flow at last was just awesome(not exaggerating it!!!) . Congrats to Andrew and his team for such an awesome course .

創建者 Shivdas P

2019年12月24日

This course extends what has been taught in the preceding course, especially the different hyper parameters and optimisation strategies. Getting started with TensorFlow in a complete end-to-end example has been one of the things I was looking for and this course puts all that and many other things into perspective. Thanks Andrew and team !!

創建者 Tamas K

2019年8月3日

The course was great, thank you! However, I'm really looking forward using Tensorflow in C++ or Swift. The obscure, untyped nature of Python facilitates cargo-cult habits, creates some mystic fog around the variables (since it's not explicit if e.g. 'cost' is a concrete float or an entire computation waiting to be executed) and error-prone.

創建者 Eulier A G M

2019年8月31日

The course is very well structured, most of the topics here is perhaps kind of boring due the lack of real-problems projects, but if you stick to it and learn the concepts, will boost your understanding when using Deep Neural Network Frameworks, such as Tensorflow. That makes creating DNN easy to set, understand and apply to your problems.

創建者 Suhas P

2017年9月21日

Introduction to TensorFlow was wonderful. This course has helped me visualize and experience end to end flow of an actual machine learning project that helped a lot. Thanks to Andrew for taking efforts to design the course in a user friendly way. Programming tips are intuitive, helps save your time and allows you to focus more on learning.

創建者 Chandan N

2019年11月27日

Great insights into the theory of regularization and famous optimization algorithms like RMSProp and Adam. Helps in developing intuition regarding these algorithms work and implementing them from scratch was pretty rewarding as well.

As usual, Prof Andrew Ng patiently explains the theory and helps in building understanding of the material.

創建者 Saransh M

2019年8月20日

Started from the basics but made sure that they provided an in depth understanding of some very important concepts like hyperparameters and regularization will well structured quizzes and interesting programming assignments. Really liked the course and would suggest it to anyone trying to set their feet in the field of ML or Deep Learning

創建者 Shuvayan G D

2019年6月16日

This is probably one of the best courses on hyperparameter tuning. Along with Andrew's teaching , the course assignments are just perfect to get the perfect intuition of how optimizers work in the deep learning frameworks , also you will be able to build your own optimizer from scratch after doing this course , though not recommended. : P

創建者 Mohd F

2019年5月17日

This is an amazing course, it helps me a lot to gain the basic intuition, and the idea behind tunning our model, this course provides understanding basic maths of how we can knob various hyperparameters, which would eventually lead us to a better statistical model in term of both speed and performance... Thankyou coursera ...Thanks Andrew

創建者 Ivan T

2018年2月4日

Another great course! Enjoyed it very much. Learned a lot of useful techniques. One thing that could be nice to do is to add references and optional material for students who want to go deeper (i.e. add references to publications related to some technique or a blog page). Looking forward to taking more courses in the Deep Learning series!

創建者 Jonah N

2018年6月4日

The course really gave me insight into some of the optimization methods that are commonly used. It also helped me to get a better understanding of Tensorflow. I think y'all have done a good job presenting the information with just the right amount of math and explanation. I have recommended this course series to multiple friends already.

創建者 Arpit B

2017年9月11日

Thanks Andrew, As always you have been a superb teacher, I am very happy with the content of the course.

One suggestion is to increase the level of difficulty in assignments. Or you can have one more course to develop an difficult deep learning application from scratch, through which we can all apply the concepts and tricks you explained.

創建者 Zihao Z

2020年4月25日

It is really helpful to NN rookies like me. I have learnt a lot of important concepts and skills, such as hyperparameters tuning and variables initialization. More importantly, I gain some basic knowledge about Tensorflow, which is a widely used NN framework. I really appreciate the step-by-step instructions in the notebook assignments.

創建者 Yan

2019年4月13日

Although the concepts of deep learning ( ie. the gradient descent, the chain rule ) are quite easy-understanding and clear to most people, how to choose the hyperparameter and how to effectively carry out the projects are real essence. That's what I learn from this course. Thanks for so many genius researchers contributing to this area.

創建者 Jayant R

2019年2月24日

I didn't knew much about different optimization algorithms and how they work. This course helped in understanding those concepts. Also leaened how to tune hyperparameters. Now, I am able to read tensorflow codes on net and also able to write basic code. Prof. Andrew Ng is the best. Concepts gets very clear on first time watching video.

創建者 ALBERICO S D L F

2020年4月12日

This is a best serie I've ever seen on digital courses overall, the sequence os topics are well planned and applied, the level is perfectly balanced to be challenger and also understandble. Contrags to professor Andrew and all his team for more on great resource to spread AI knowledge and make it accessible to most interested people.