Introduction to Deep Learning & Neural Networks with Keras
Master deep learning fundamentals: Build neural networks using Keras, from basic concepts to advanced architectures like CNN and RNN.
Master deep learning fundamentals: Build neural networks using Keras, from basic concepts to advanced architectures like CNN and RNN.
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
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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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
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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
Artificial Neural Networks
Module 2 · 52 Minutes 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
Instructor
Dr. Alex Aklson: Crafting Data-Driven Solutions and Innovating Smart Health Systems at IBM
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.
Testimonials
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4.7 course rating
1,579 ratings
Frequently asked questions
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