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Introduction to Deep Learning & Neural Networks with Keras
This course is part of multiple programs. Learn more.
Course Cost
Free course
Intermediate
Skill Level
7 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
59,462 Enrolled
English
What you'll learn
Understand neural networks and deep learning models
Implement deep learning solutions using Keras
Build various neural network architectures
Master supervised and unsupervised learning models
Skills you'll gain
This course includes:
2 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 5 modules in this course
This comprehensive course introduces the fundamentals of deep learning and neural networks using the Keras library. Students learn core concepts from basic neural network architecture to advanced topics like CNNs and RNNs. The curriculum covers essential topics including gradient descent, backpropagation, activation functions, and various deep learning models. Through hands-on labs, students build both regression and classification models using Keras. The course emphasizes practical implementation while providing theoretical understanding of deep learning concepts.
Introduction to Neural Networks and Deep Learning
Module 1 · 1 Hours to complete
Basics of Deep Learming
Module 2 · 1 Hours to complete
Keras and Deep Learning Libraries
Module 3 · 2 Hours to complete
Deep Learning Models
Module 4 · 1 Hours to complete
Course Project
Module 5 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Deep Learning with PyTorch, Keras and Tensorflow, IBM AI Engineering Professional Certificate, IBM Generative AI Engineering Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Dr. Alex Aklson is a data scientist in IBM Canada’s Digital Business Group, where he has contributed to innovative projects, including the development of a smart system to detect early signs of dementia by analyzing walking speed and home activity patterns in older adults. Prior to IBM, Alex worked at Datascope Analytics in Chicago, where he crafted data-driven solutions using a human-centered approach. He holds a Ph.D. in Biomedical Engineering from the University of Toronto.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.