DeepLearning.AI - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
4.7 /5- Offered byCoursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization at Coursera Overview
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization at Coursera Highlights
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
- 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
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization at Coursera Course details
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
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
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
Week 1: Practical aspects of Deep Learning
Week 2: Optimization algorithms
Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization at Coursera Admission Process
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
Other courses offered by Coursera
– / –
3 months
Beginner
View Other 6714 Courses
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
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
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
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
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
View All 5 Reviews
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
at Coursera
Student Forum
Anything you would want to ask experts?
Data ScienceDeep LearningDeep Learning and Neural NetworksImproving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization