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DeepLearning.AI - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 
Overview

Duration

16 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 
Highlights

  • Skills Covered: Hyperparameter, Tensorflow, Hyperparameter Optimization, Deep Learning
  • Includes Peer Graded Assignments, Quizzes
  • Learn from top Instructor: Andrew Ng
  • 37% got a tangible career benefit from this course
Read more
Details Icon

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 
Course details

What are the course deliverables?
  • 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.
More about this course
  • 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.

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 
Curriculum

Week 1: Practical aspects of Deep Learning

Week 2: Optimization algorithms

Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 
Students Ratings & Reviews

4.7/5
Verified Icon7 Ratings
R
Rahul Sarkar
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Offered by Coursera
5
Learning Experience: Great learning experience with solid intuitive level understanding on the concepts. Must be a go to course for the learners.
Faculty: Andrew N.G was the faculty and is a world class faculty on the concepts Yes it was updated and comprehensive with the latest concepts and techniques that are implemented.
Course Support: Yes
Reviewed on 10 Aug 2022Read More
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S
Sachin sachan
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Offered by Coursera
5
Other: I would recommend this course as taking this will create base of your learning DL.
Reviewed on 17 Oct 2021Read More
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P
Punnam Lakshmi Manikanteswar
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Offered by Coursera
5
Other: I learnt a lot of techniques to improve performance of Deep Neural Networks. After i completed this course, i found myself very confident on building a very high performance models.
Reviewed on 15 Mar 2021Read More
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S
Sruthi Raju
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Offered by Coursera
5
Other: This course is simply brilliant. You start with implementing the low-level functions that make up a deep learning framework. It's only in the last assignment that you explore TensorFlow. At that point, you have a full understanding of what the API encapsulates.
Reviewed on 24 Dec 2020Read More
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S
Saumya Sinha
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Offered by Coursera
5
Other: It was a great experience As I am studying it for my BE project.It helped me a lot.I would like to thank Mr. Andrew Ng for his teaching.I personally found it very helpful.
Reviewed on 9 Jun 2020Read More
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
 at 
Coursera 

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