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学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

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63,493 个评分

课程概述

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....

热门审阅

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

Oct 8, 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

筛选依据：

3676 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3700 个评论（共 7,283 个）

创建者 Ankan G D

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May 2, 2020

All the topics are well-explained. Loved it!

创建者 Patrick P

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Apr 30, 2020

Again of the interesting course by Andrew ng

创建者 Amit K G

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Apr 23, 2020

This course has enriched my knowledge of DL.

创建者 Shweta S

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Apr 22, 2020

Course was very informative and explanatory.

创建者 Robert A

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Apr 19, 2020

The course was great . Notebook is terrible.

创建者 曹杰

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Apr 8, 2020

Very practical aspects of DL, thanks Andrew.

创建者 Md F A B

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Mar 31, 2020

Well organized and good assignment materials

创建者 Eden C

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Dec 8, 2019

Best Learning material for Machine Learning.

创建者 Ahmet T

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Sep 27, 2019

It was very good experience and class for me

创建者 Qasem A A

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Aug 4, 2019

Thank you much for such interesting courses

创建者 龚鑫

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Jan 26, 2019

very nice, I learned a lot from that course!

创建者 Ryan G

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Jan 24, 2019

this course was amazing. I really enjoyed it

创建者 An-Dân N

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Aug 25, 2018

Nice course, nice instructor, nice materials

创建者 mobwiz

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Jun 23, 2018

Very good, I learned a lot from this course.

创建者 康一帅

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May 10, 2018

本课程让我了解了正则化，BN，Softmax背后的原理以及接触了TensorFlow框架

创建者 Michael K

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Apr 30, 2018

Well explained and documented - recommended!

创建者 Alex T S

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Feb 28, 2018

Comprehensive, clear, and engaging as usual.

创建者 Uzair A

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Feb 16, 2018

Very helpful and good learning experience...

创建者 kingsleyhsu

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Oct 27, 2017

very good,easy understand and help me a lot.

创建者 Ryan S

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Oct 11, 2017

Andrew is the best. Assignments are too easy

创建者 José C B

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Sep 8, 2017

Great material and didactic classes. Thanks!

创建者 Fabio G

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Oct 30, 2024

Great explanation on algorithm optimization

创建者 Ziqi L

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Mar 25, 2024

Super great! Very systemetic and innovative

创建者 300_MEGHA S

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Jan 18, 2022

perfect course for deep learning enthusiast

创建者 JONATAN D P H

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Jul 5, 2021

Genial!. Muchas gracias, aprendí muchísimo.