DeepLearning.AI - Deep Learning Specialization
4.8 /5- Offered byCoursera
Deep Learning Specialization at Coursera Overview
Deep Learning Specialization
at Coursera
Duration | 5 months |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Deep Learning Specialization at Coursera Highlights
Deep Learning Specialization
at Coursera
- Self-Paced Learning Option
- Course Videos & Readings
- Shareable Specialization and Course Certificates
- Practice Quizzes
- Graded Assignments with Peer Feedback
Read more
Deep Learning Specialization at Coursera Course details
Deep Learning Specialization
at Coursera
Skills you will learn
Who should do this course?
- Suitable for people with programming experience. The course is taught in Python. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries).
- Recommended for Mathematics: basic linear algebra (matrix vector operations and notation) will help.
- Machine Learning: a basic knowledge of machine learning
What are the course deliverables?
- Learn the foundations of deep learning
- Understand the major technology trends driving Deep Learning
- Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture
- 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.
- This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader.
- Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course.
- Understand how to build a convolutional neural network, including recent variations such as residual networks.
- Know how to apply convolutional networks to visual detection and recognition tasks.
- Know to use neural style transfer to generate art.
- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization.
- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.
- Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis
More about this course
- The Deep Learning Specialization is one of the most in-depth deep learning courses on Coursera. This specialization is a collection of five courses focused on neural networks and deep learning
- The specialization is taught by instructors Andrew Ng (Founder of DeepLearning.AI and Co-founder of Coursera), Kian Katanforoosh (Senior Curriculum Developer and Founder of Workera), Younes Bensouda Mourri (Curriculum developer)
- In this program, you will understand the foundations of Deep Learning, learn how to build convolutional neural networks, and understand how to lead machine learning projects. Coursera suggests around 8 hours of effort per week and approximately 5 months to complete the program. The prerequisites to take up this program include intermediate Python skills and basic knowledge of linear algebra and ML
Deep Learning Specialization at Coursera Curriculum
Deep Learning Specialization
at Coursera
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models
Other courses offered by Coursera
– / –
3 months
Beginner
View Other 6715 Courses
P
Pushkar Verma
Deep Learning Specialization
Offered by Coursera
5
Learning Experience: The course is covers a lot of theory very well and Andrew is a great teacher. Platform is one of the best but the assessments are not in sync with theory. Assessments are tough and most people would not be able to clear. Overall I would recommend new people to audit the course while experienced people can complete the course
Faculty: Andrew Ng is the best faculty you can get. He would have single handedly taught majority of the data scientist currently working in the industry.
Assessments and assignments get updated more often while the course is still very relevant. They could still update a few sections with new state of the art models.
Reviewed on 14 Jan 2023Read More
M
Mehul Kumar
Deep Learning Specialization
Offered by Coursera
5
Learning Experience: The most important thing is that it covers the very basics of the mathematics behind the deep learning and give clear picture of what exactly is deep learning and how it is implemented for real life data
Faculty: Andrew Ng is at god level in this and throughout you will get best you can from any course.
Yes, the course content were updated and quite amazing. The explained maths keep you interested throughout the course
Course Support: I got the career support as I am more confident with my deep learning concepts now but there was no job assistance
Reviewed on 9 Aug 2022Read More
K
Kusuma S
Deep Learning Specialization
Offered by Coursera
5
Other: I am doing research in deep learning .so this course helped me a lot in improving my skills
Reviewed on 9 Oct 2021Read More
R
Rockey Dey
Deep Learning Specialization
Offered by Coursera
4
Other: Only people having prior experience can understand this course
Reviewed on 3 Sep 2021Read More
S
Sanchit Jain
Deep Learning Specialization
Offered by Coursera
5
Other: The experience has been good, learned and implemented few of the deep learning algorithms which were very helpful for the long run and helped in basic and fundamentals of the understanding of all the concepts
Reviewed on 9 Aug 2021Read More
View All 33 Reviews
Deep Learning Specialization
at Coursera
Student Forum
Anything you would want to ask experts?