Overview
The Deep Learning Fundamentals with Keras Certificate from EdX is offered in partnership with IBMx. This course is part of Generative AI Engineering Professional Certificate Program.
Looking to kickstart a career in deep learning? Look no further. This course will introduce you to the field of deep learning and teach you the fundamentals. You will learn about some of the exciting applications of deep learning, the basics fo neural networks, different deep learning models, and how to build your first deep learning model using the easy yet powerful library Keras.
Key facts
This course will present simplified explanations to some of today's hottest topics in data science, including:What is deep learning?
How do neural networks learn and what are activation functions?
What are deep learning libraries and how do they compare to one another?
What are supervised and unsupervised deep learning models?
How to use Keras to build, train, and test deep learning models?
The demand for deep learning skills-- and the job salaries of deep learning practitioners -- are continuing to grow, as AI becomes more pervasive in our societies. This course will help you build the knowledge you need to future-proof your career.
What you'll learn
- You will learn about exciting applications of deep learning and why it is really rewarding to learn how to leverage deep learning skills.
- You will learn about neural networks and how they learn and update their weights and biases.
- You will learn about the vanishing gradient problem.
- You will learn about building a regression model using the Keras library.
- You will learn about building a classification model using the Keras library.
- You will learn about supervised deep learning models, such as convolutional neural networks and recurrent neural networks, and how to build a convolutional neural network using the Keras library.
- You will learn about unsupervised learning models such as autoencoders.
Programme Structure
Modules included:
- Deep Learning
- Artificial Neural Networks
- Deep Learning Libraries
- Deep Learning Models
Key information
Duration
- Part-time
- 35 days
- 2 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Portland, United States
Disciplines
Artificial Intelligence Machine Learning View 207 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Some prior experience required
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residents99 USD / full≈ 99 USD / full - Out-of-State99 USD / full≈ 99 USD / full
Additional Details
Add a Verified Certificate for $99 USD
- Limited access: free